85,911 results match your criteria IEEE transactions on pattern analysis and machine intelligence[Journal]


Information visualizations of symptom information for patients and providers: a systematic review.

J Am Med Inform Assoc 2018 Dec 7. Epub 2018 Dec 7.

School of Nursing, Columbia University, New York City, New York USA.

Objective: To systematically synthesize the literature on information visualizations of symptoms included as National Institute of Nursing Research common data elements and designed for use by patients and/or healthcare providers.

Methods: We searched CINAHL, Engineering Village, PsycINFO, PubMed, ACM Digital Library, and IEEE Explore Digital Library to identify peer-reviewed studies published between 2007 and 2017. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT) and a visualization quality score, and organized evaluation findings according to the Health Information Technology Usability Evaluation Model. Read More

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December 2018
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Reaction Time Predicts Brain-Computer Interface Aptitude.

IEEE J Transl Eng Health Med 2018 9;6:2000311. Epub 2018 Nov 9.

School of Electrical and Electronic EngineeringThe University of Adelaide SA 5005 Australia.

There is evidence that 15-30% of the general population cannot effectively operate brain-computer interfaces (BCIs). Thus the BCI performance predictors are critically required to pre-screen participants. Current neurophysiological and psychological tests either require complicated equipment or suffer from subjectivity. Read More

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November 2018

Distributed Event-Triggered Adaptive Control for Consensus of Linear Multi-Agent Systems with External Disturbances.

IEEE Trans Cybern 2018 Dec 5. Epub 2018 Dec 5.

This paper investigates the consensus problem of linear multi-agent systems subject to external disturbances via distributed event-triggered adaptive control. First, a distributed event-triggered adaptive output feedback control strategy is proposed for each agent. It is shown that under this control strategy, the consensus problem can be solved for any connected undirected communication graph in a fully distributed manner without using any global information. Read More

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December 2018

MHTN: Modal-Adversarial Hybrid Transfer Network for Cross-Modal Retrieval.

IEEE Trans Cybern 2018 Dec 5. Epub 2018 Dec 5.

Cross-modal retrieval has drawn wide interest for retrieval across different modalities (such as text, image, video, audio, and 3-D model). However, existing methods based on a deep neural network often face the challenge of insufficient cross-modal training data, which limits the training effectiveness and easily leads to overfitting. Transfer learning is usually adopted for relieving the problem of insufficient training data, but it mainly focuses on knowledge transfer only from large-scale datasets as a single-modal source domain (such as ImageNet) to a single-modal target domain. Read More

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December 2018

Context-Aware Deep Spatiotemporal Network for Hand Pose Estimation From Depth Images.

IEEE Trans Cybern 2018 Dec 5. Epub 2018 Dec 5.

As a fundamental and challenging problem in computer vision, hand pose estimation aims to estimate the hand joint locations from depth images. Typically, the problems are modeled as learning a mapping function from images to hand joint coordinates in a data-driven manner. In this paper, we propose a context-aware deep spatiotemporal network, a novel method to jointly model the spatiotemporal properties for hand pose estimation. Read More

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December 2018

Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning.

IEEE Trans Cybern 2018 Dec 5. Epub 2018 Dec 5.

The application and theoretical analysis of fault tolerant learning are very important for neural networks. Our objective here is to realize fault tolerant sparse multilayer perceptron (MLP) networks. The stochastic gradient descent method has been employed to perform online learning for MLPs. Read More

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December 2018

Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.

IEEE J Biomed Health Inform 2018 Dec 6. Epub 2018 Dec 6.

Our goal is data-driven discovery of features for text simplification. In this work, we investigate three types of lexical chains: exact, synonymous, and semantic. A lexical chain links semantically related words in a document. Read More

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December 2018

Moving-tolerant Augmented Reality Surgical Navigation System using Autostereoscopic 3D Image Overlay.

IEEE J Biomed Health Inform 2018 Dec 6. Epub 2018 Dec 6.

Augmented reality (AR) surgical navigation systems based on image overlay have been used in minimally invasive surgery (MIS). However, conventional systems still suffer from a limited viewing zone, a shortage of intuitive three-dimensional (3D) image guidance and can't be moved freely. To fuse the 3D overlay image with the patient in situ, it is essential to track the overlay device while it is moving. Read More

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December 2018

Correlation-aware Sparse and Low-rank Constrained Multi-task Learning for Longitudinal Analysis of Alzheimer's Disease.

IEEE J Biomed Health Inform 2018 Dec 6. Epub 2018 Dec 6.

Alzheimer's Disease (AD), as a severe neurodegenerative disease, is now attracting more and more researchers' attention in the healthcare. With the development of Magnetic Resonance Imaging (MRI), the neuroimaging-based longitudinal analysis is gradually becoming an important research direction to understand and trace the process of the AD. And regression analysis has been commonly adopted in the AD pattern analysis and progression prediction. Read More

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December 2018

Cloud deployment of high-resolution medical image analysis with TOMAAT.

IEEE J Biomed Health Inform 2018 Dec 5. Epub 2018 Dec 5.

Background: Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems. Although recent research efforts have improved the state of the art, most of the methods cannot be easily accessed, compared or used by other researchers or clinicians. Even if developers publish their code and pre-trained models on the internet, integration in stand-alone applications and existing workflows is often not straightforward, especially for clinical research partners. Read More

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December 2018

Bidirectional Recurrent Auto-Encoder for Photoplethysmogram Denoising.

IEEE J Biomed Health Inform 2018 Dec 5. Epub 2018 Dec 5.

Photoplethysmography (PPG) has become ubiquitous with the development of smartwatches and the mobile healthcare market. However, PPG is vulnerable to various types of noises which are ever-present in uncontrolled environments, and the key to obtaining meaningful signals depends on successful denoising of PPG. In this context, algorithms have been developed to denoise PPG, but many were validated in controlled settings or are reliant on multiple steps that must all work correctly. Read More

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December 2018

Evaluation of a wearable device to determine cardiorespiratory parameters from surface diaphragm electromyography.

IEEE J Biomed Health Inform 2018 Dec 5. Epub 2018 Dec 5.

The use of wearable devices in clinical routines could reduce healthcare costs and improve the quality of assessment in patients with chronic respiratory diseases. The purpose of this study is to evaluate the capacity of a Shimmer3 wearable device to extract reliable cardiorespiratory parameters from surface diaphragm electromyography (EMGdi). Twenty healthy volunteers underwent an incremental load respiratory test whilst EMGdi was recorded with a Shimmer3 wearable device (EMGdiW). Read More

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December 2018
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Label-efficient Breast Cancer Histopathological Image Classification.

IEEE J Biomed Health Inform 2018 Dec 5. Epub 2018 Dec 5.

The automatic classification of breast cancer histopathological images has great significance in computer-aided diagnosis. Recently, deep learning via neural networks has enabled pattern detection and prediction using large, labeled datasets; whereas, collecting and annotating sufficient histological data using professional pathologists is time-consuming, tedious, and extremely expensive. In the proposed work, a deep active learning framework is designed and implemented for classification of breast cancer histopathological images, with the goal of maximizing the learning accuracy from very limited labeling. Read More

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December 2018

Fast-Time Stability of Temporal Boolean Networks.

IEEE Trans Neural Netw Learn Syst 2018 Dec 5. Epub 2018 Dec 5.

In real systems, most of the biological functionalities come from the fact that the connections are not active all the time. Based on the fact, temporal Boolean networks (TBNs) are proposed in this paper, and the fast-time stability is analyzed via semi-tensor product (STP) of matrices and incidence matrices. First, the algebraic form of a TBN is obtained based on the STP method, and one necessary and sufficient condition for global fast-time stability is presented. Read More

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December 2018

Self-Tuned Discrimination-Aware Method for Unsupervised Feature Selection.

IEEE Trans Neural Netw Learn Syst 2018 Dec 5. Epub 2018 Dec 5.

Unsupervised feature selection is fundamentally important for processing unlabeled high-dimensional data, and several methods have been proposed on this topic. Most existing embedded unsupervised methods just emphasize the data structure in the input space, which may contain large noise. Therefore, they are limited to perceive the discriminative information implied within the low-dimensional manifold. Read More

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December 2018

Function Perturbation Impact on Feedback Stabilization of Boolean Control Networks.

IEEE Trans Neural Netw Learn Syst 2018 Dec 5. Epub 2018 Dec 5.

Function perturbation analysis of Boolean networks is an important topic in the study of gene regulation due to gene mutation or immeasurable variables. This brief studies the function perturbation impact on feedback stabilization of Boolean control networks (BCNs) by using the algebraic state space representation approach. First, the state feedback stabilization control design of BCNs is recalled and the function perturbation problem is formulated. Read More

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December 2018

Dynamic Feature Acquisition Using Denoising Autoencoders.

IEEE Trans Neural Netw Learn Syst 2018 Dec 5. Epub 2018 Dec 5.

In real-world scenarios, different features have different acquisition costs at test time which necessitates cost-aware methods to optimize the cost and performance tradeoff. This paper introduces a novel and scalable approach for cost-aware feature acquisition at test time. The method incrementally asks for features based on the available context that are known feature values. Read More

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December 2018

Accelerating Sequence Alignments Based on FM-Index Using the Intel KNL Processor.

IEEE/ACM Trans Comput Biol Bioinform 2018 Dec 6. Epub 2018 Dec 6.

FM-index is a compact data structure suitable for fast matches of short reads to large reference genomes. The matching algorithm using this index exhibits irregular memory access patterns that cause frequent cache misses, resulting in a memory bound problem. This paper analyzes different FM-index versions presented in the literature, focusing on those computing aspects related to the data access. Read More

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December 2018

Diffusive Molecular Communication in Biological Cylindrical Environment.

IEEE Trans Nanobioscience 2018 Dec 5. Epub 2018 Dec 5.

Diffusive molecular communication (DMC) is one of the most promising approaches for realizing nano-scale communications in biological environments for healthcare applications. In this paper, a DMC system in biological cylindrical environment is considered, inspired by blood vessel structures in the body. The internal surface of the cylinder boundary is assumed to be covered by the biological receptors which may irreversibly react with hitting molecules. Read More

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December 2018

Strategies for Coexistence in Molecular Communication.

IEEE Trans Nanobioscience 2018 Dec 4. Epub 2018 Dec 4.

Some of the most ambitious applications of molecular communications are expected to lie in nanomedicine and advanced manufacturing. In these domains, the molecular communication system is surrounded by a range of biochemical processes, some of which may be sensitive to chemical species used for communication. Under these conditions, the biological system and the molecular communication system impact each other. Read More

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December 2018

Interaction driven enhancement of depth perception in angiographic volumes.

IEEE Trans Vis Comput Graph 2018 Dec 6. Epub 2018 Dec 6.

User interaction has the potential to greatly facilitate the exploration and understanding of 3D medical images for diagnosis and treatment. However, in certain specialized environments such as in an operating room (OR), technical and physical constraints such as the need to enforce strict sterility rules, make interaction challenging. In this paper, we propose to facilitate the intraoperative exploration of angiographic volumes by leveraging the motion of a tracked surgical pointer, a tool that is already manipulated by the surgeon when using a navigation system in the OR. Read More

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December 2018

Hierarchical Tracking by Reinforcement Learning based Searching and Coarse-to-fine Verifying.

IEEE Trans Image Process 2018 Dec 5. Epub 2018 Dec 5.

A class-agnostic tracker typically consists of three key components, i.e., its motion model, its target appearance model, and its updating strategy. Read More

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December 2018

Light Field Spatial Super-Resolution Using Deep Efficient Spatial-Angular Separable Convolution.

IEEE Trans Image Process 2018 Dec 5. Epub 2018 Dec 5.

Light field (LF) photography is an emerging paradigm for capturing more immersive representations of the real-world. However, arising from the inherent trade-off between the angular and spatial dimensions, the spatial resolution of LF images captured by commercial micro-lens based LF cameras are significantly constrained. In this paper, we propose effective and efficient end-to-end convolutional neural network models for spatially super-resolving LF images. Read More

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December 2018

Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks.

IEEE Trans Image Process 2018 Dec 5. Epub 2018 Dec 5.

Stereoscopic saliency detection plays an important role in various stereoscopic video processing applications. However, conventional stereoscopic video saliency detection methods mainly use independent low-level features instead of extracting them automatically, and thus, they ignore the intrinsic relationship between the spatial and temporal information. In this paper, we propose a novel stereoscopic video saliency detection method based on 3D convolutional neural networks, namely Deep 3D Video Saliency (Deep3DSaliency). Read More

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December 2018

A New Probabilistic Representation of Color Image Pixels and Its Applications.

IEEE Trans Image Process 2018 Dec 6. Epub 2018 Dec 6.

This paper proposes a novel probabilistic representation of color image pixels (PRCI) and investigates its applications to similarity construction in motion estimation and image segmentation problems. The PRCI explores the mixture representation of the input image(s) as prior information and describes a given color pixel in terms of its membership in the mixture. Such representation greatly simplifies the estimation of the probability density function from limited observations and allows us to derive a new probabilistic pixel-wise similarity measure based on the continuous domain Bhattacharyya coefficient. Read More

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December 2018

Simultaneous Axial Multifocal Imaging using a Single Acoustical Transmission: a Practical Implementation.

IEEE Trans Ultrason Ferroelectr Freq Control 2018 Dec 5. Epub 2018 Dec 5.

Standard ultrasound imaging techniques rely on sweeping a focused beam across a field of view; however, outside the transmission focal depth, image resolution and contrast are degraded. High-quality deep tissue in vivo imaging requires focusing the emitted field at multiple depths, yielding high resolution and high contrast ultrasound images but at the expense of a loss in frame rate. Recent developments in ultrasound technologies have led to user-programmable systems, which enable real-time dynamic control over the phase and apodization of each individual element in the imaging array. Read More

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December 2018

Narrowband Shear Wave Generation Using Sinusoidally-Modulated Acoustic Radiation Force.

IEEE Trans Ultrason Ferroelectr Freq Control 2018 Dec 5. Epub 2018 Dec 5.

Most transient ultrasound elastography methods use high-intensity ultrasound 'push' pulses that generate a shear wave with a wide frequency spectrum. However, it is difficult to control how the energy of the wave is distributed within that spectrum. For this reason, the shear-wave group velocity may not match that of harmonic methods like magnetic resonance elastography (MRE). Read More

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December 2018

Weakly-Supervised Lesion Detection from Fundus Images.

IEEE Trans Med Imaging 2018 Dec 6. Epub 2018 Dec 6.

Early diagnosis and continuous monitoring of patients suffering from eye diseases have been major concerns in the computer-aided detection (CAD) techniques. Detecting one or several specific types of retinal lesions has made a significant breakthrough in computed-aid screen in the past few decades. However, due to variety of retinal lesions and complex normal anatomical structures, automatic detection of lesions with unknown and diverse types from a retina remains a challenging task. Read More

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December 2018

Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging.

IEEE Trans Med Imaging 2018 Dec 6. Epub 2018 Dec 6.

We propose a patient-specific ("personalized") approach for tailoring the injected activities to individual patients in order to achieve dose reduction in SPECT-myocardial perfusion imaging (MPI). First, we develop a strategy to determine the minimum dose levels required for each patient in a large set of clinical acquisitions (857 subjects) such that the reconstructed images are sufficiently similar to that obtained at conventional clinical dose. We then apply machine learning models to predict the required dose levels on an individual basis based on a set of patient attributes which include body measurements and various clinical variables. Read More

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December 2018

Improved Panoramic Representation via Bidirectional Recurrent View Aggregation for 3D Model Retrieval.

IEEE Comput Graph Appl 2018 Dec 6. Epub 2018 Dec 6.

In view-based 3D model retrieval task, extracting discriminative high-level features of models from projected images is considered an effective approach. The challenge of view-based 3D shape retrieval is that shape information of each view is limited due to information deficiency in projection. Traditional methods in this direction mostly convert the model into a panoramic view, making it hard to recognize the original shape. Read More

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December 2018

Fast Sketch Segmentation and Labeling with Deep Learning.

IEEE Comput Graph Appl 2018 Dec 6. Epub 2018 Dec 6.

We present a simple and efficient method based on deep learning to automatically decompose sketched objects into semantically valid parts. We train a deep neural network to transfer existing segmentations and labelings from 3D models to freehand sketches without requiring numerous well-annotated sketches as training data. The network takes the binary image of a sketched object as input and produces a corresponding segmentation map with per-pixel labelings as output. Read More

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December 2018

Depth Assisted Full Resolution Network for Single Image-based View Synthesis.

IEEE Comput Graph Appl 2018 Dec 6. Epub 2018 Dec 6.

Researches in novel viewpoint synthesis are majorly based on multi-view input images. In this paper, we focus on a more challenging and ill-posed problem that is to synthesize surrounding novel viewpoints from a single image. To achieve this goal, we design a full resolution network to extract fine-scale image fea-tures, which contributes to prevent blurry artifacts. Read More

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December 2018

A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking.

IEEE Trans Pattern Anal Mach Intell 2018 Dec 6. Epub 2018 Dec 6.

We propose an algorithm for real-time 6DOF pose tracking of rigid 3D objects using a monocular RGB camera. The key idea is to derive a region-based cost function using temporally consistent local color histograms. While such region-based cost functions are commonly optimized using first-order gradient descent techniques, we systematically derive a Gauss-Newton optimization scheme which gives rise to drastically faster convergence and highly accurate and robust tracking performance. Read More

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December 2018
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Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes.

IEEE Trans Pattern Anal Mach Intell 2018 Dec 6. Epub 2018 Dec 6.

We extend feed-forward neural networks with a Dirichlet process prior over the weight distribution. This enforces a sharing on the network weights, which can reduce the overall number of parameters drastically. We alternately sample from the posterior of the weights and the posterior of assignments of network connections to the weights. Read More

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December 2018
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Cooperative Path Following Ring-Networked Under-Actuated Autonomous Surface Vehicles: Algorithms and Experimental Results.

IEEE Trans Cybern 2018 Dec 10. Epub 2018 Dec 10.

This paper addresses the cooperative path following the problem of ring-networked under-actuated autonomous surface vehicles on a closed curve. A cooperative guidance law is proposed at the kinematic level such that a symmetric formation pattern is achieved. Specifically, individual guidance laws of surge speed and angular rate are developed by using a backstepping technique and a line-of-sight guidance method. Read More

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December 2018

Projected Primal-Dual Dynamics for Distributed Constrained Nonsmooth Convex Optimization.

IEEE Trans Cybern 2018 Dec 10. Epub 2018 Dec 10.

A distributed nonsmooth convex optimization problem subject to a general type of constraint, including equality and inequality as well as bounded constraints, is studied in this paper for a multiagent network with a fixed and connected communication topology. To collectively solve such a complex optimization problem, primal-dual dynamics with projection operation are investigated under optimal conditions. For the nonsmooth convex optimization problem, a framework under the LaSalle's invariance principle from nonsmooth analysis is established, where the asymptotic stability of the primal-dual dynamics at an optimal solution is guaranteed. Read More

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December 2018

A Stabilized Feedback Episodic Memory (SF-EM) and Home Service Provision Framework for Robot and IoT Collaboration.

IEEE Trans Cybern 2018 Dec 10. Epub 2018 Dec 10.

The automated home referred to as Smart Home is expected to offer fully customized services to its residents, reducing the amount of home labor, thus improving human beings' welfare. Service robots and Internet of Things (IoT) play the key roles in the development of Smart Home. The service provision with these two main components in a Smart Home environment requires: 1) learning and reasoning algorithms and 2) the integration of robot and IoT systems. Read More

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December 2018

Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling.

IEEE Trans Cybern 2018 Dec 10. Epub 2018 Dec 10.

Closed-loop control of functional electrical stimulation coupled with motorized assistance to induce cycling is a rehabilitative strategy that can improve the mobility of people with neurological conditions (NCs). However, robust control methods, which are currently pervasive in the cycling literature, have limited effectiveness due to the use of high stimulation intensity leading to accelerated fatigue during cycling protocols. This paper examines the design of a distributed repetitive learning controller (RLC) that commands an independent learning feedforward term to each of the six stimulated lower-limb muscle groups and an electric motor during the tracking of a periodic cadence trajectory. Read More

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December 2018

Prespecified-Time Cluster Synchronization of Complex Networks via a Smooth Control Approach.

IEEE Trans Cybern 2018 Dec 7. Epub 2018 Dec 7.

Most existing finite-/fixed-time synchronization control schemes are nonsmooth or discontinuous, and the settling time is estimated with conservatism. It is due to the utilization of signum function or fraction power state feedback. This brief considers the problem of prespecified-time cluster synchronization of complex networks with a smooth control protocol. Read More

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December 2018

Discrete Optimal Graph Clustering.

IEEE Trans Cybern 2018 Dec 7. Epub 2018 Dec 7.

Graph-based clustering is one of the major clustering methods. Most of it works in three separate steps: 1) similarity graph construction; 2) clustering label relaxing; and 3) label discretization with k-means (KM). Such common practice has three disadvantages: 1) the predefined similarity graph is often fixed and may not be optimal for the subsequent clustering; 2) the relaxing process of cluster labels may cause significant information loss; and 3) label discretization may deviate from the real clustering result since KM is sensitive to the initialization of cluster centroids. Read More

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December 2018

Multiview Classification With Cohesion and Diversity.

IEEE Trans Cybern 2018 Dec 7. Epub 2018 Dec 7.

Different views of multiview data share certain common information (consensus) and also contain some complementary information (complementarity). Both consensus and complementarity are of significant importance to the success of multiview learning. In this paper, we explicitly formulate both of them for multiview classification. Read More

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December 2018

Noise-Tolerant Techniques for Decomposition-Based Multiobjective Evolutionary Algorithms.

IEEE Trans Cybern 2018 Dec 7. Epub 2018 Dec 7.

Over the last few decades, the decomposition-based multiobjective evolutionary algorithms (DMOEAs) have became one of the mainstreams for multiobjective optimization. However, there is not too much research on applying DMOEAs to uncertain problems until now. Usually, the uncertainty is modeled as additive noise in the objective space, which is the case this paper concentrates on. Read More

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December 2018

Automated Sleep Apnea Detection in Raw Respiratory Signals using Long Short-Term Memory Neural Networks.

IEEE J Biomed Health Inform 2018 Dec 10. Epub 2018 Dec 10.

Sleep apnea is one of the most common sleep disorders and the consequences of undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to heart failure. However, many people are often unaware of their condition. The gold standard for diagnosing sleep apnea is an overnight polysomnography in a dedicated sleep laboratory. Read More

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December 2018

Cell segmentation using a similarity interface with a multi-task convolutional neural network.

IEEE J Biomed Health Inform 2018 Dec 7. Epub 2018 Dec 7.

Even though convolutional neural networks (CNN) have been used for cell segmentation, they require pixel-level ground truth annotations. This paper proposes a multi-task learning algorithm for cell detection and segmentation using CNNs. We use dot annotations placed inside each cell indicating approximate cell centroids to create training datasets for the detection and segmentation tasks. Read More

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December 2018

Set Stabilization of Probabilistic Boolean Networks Using Pinning Control.

IEEE Trans Neural Netw Learn Syst 2018 Dec 7. Epub 2018 Dec 7.

Probabilistic Boolean network (PBN) is a kind of stochastic logical system in which update functions are randomly selected from a set of candidate Boolean functions according to a prescribed probability distribution at each time step. In this brief, a pinning controller design algorithm is proposed to set stabilize any PBN with probability one. First, an algorithm is given to change the columns of its transition matrix. Read More

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December 2018

Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems.

IEEE Trans Neural Netw Learn Syst 2018 Dec 7. Epub 2018 Dec 7.

This paper studies the data-driven prescribed performance control (PPC) problem for a class of discrete-time nonlinear systems in the presence of tracking error constraints. By using the equivalent dynamic linearization technique and constructing a novel transformed error strategy, an adaptive integral sliding mode controller is designed such that the tracking error converges to a predefined neighborhood. Meanwhile, the presented control scheme can effectively ensure that the convergence rate is less than a predefined value and maximum overshoot is not smaller than a preselected constant. Read More

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December 2018

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.

IEEE Trans Neural Netw Learn Syst 2018 Dec 10. Epub 2018 Dec 10.

Convolutional autoencoders (CAEs) have shown their remarkable performance in stacking to deep convolutional neural networks (CNNs) for classifying image data during the past several years. However, they are unable to construct the state-of-the-art CNNs due to their intrinsic architectures. In this regard, we propose a flexible CAE (FCAE) by eliminating the constraints on the numbers of convolutional layers and pooling layers from the traditional CAE. Read More

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December 2018

Deep Learning in Cardiology.

IEEE Rev Biomed Eng 2018 Dec 10. Epub 2018 Dec 10.

The medical field is creating large amount of data that physicians are unable to comprehend and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or creating insights using big data. Deep learning has emerged as a more accurate and effective technology in a wide range of medical problems such as diagnosis, prediction and intervention. Read More

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December 2018

Fundamental characterization of conductive intracardiac communication for leadless multisite pacemaker systems.

IEEE Trans Biomed Circuits Syst 2018 Dec 10. Epub 2018 Dec 10.

Objective: A new generation of leadless cardiac pacemakers effectively overcomes the main limitations of conventional devices, but only offer single-chamber pacing, although dual-chamber or multisite pacing is highly desirable for most patients. The combination of several leadless pacemakers could facilitate a leadless multisite pacemaker but requires an energy-efficient wireless communication for device synchronization. This work investigates the characteristics of conductive intracardiac communication between leadless pacemakers to provide a basis for future designs of leadless multisite pacemaker systems. Read More

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December 2018

Intra-cluster distance minimization in DNA methylation analysis using an advanced Tabu-based iterative k-medoids clustering algorithm (T-CLUST).

IEEE/ACM Trans Comput Biol Bioinform 2018 Dec 10. Epub 2018 Dec 10.

Recent advances in DNA methylation profiling have paved the way for understanding the underlying epigenetic mechanisms of various diseases such as cancer. While conventional distance-based clustering algorithms (e.g. Read More

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December 2018