Electronic Proceedings of the Neural Information Processing Systems Conference. of natural images. theory and kernel methods. Bayesian Quadrature is a modelbased method These priors can conveniently be available models are explicitly designed for capturing some specific ...A key function of brains is undoubtedly the abstraction and maintenance of information Moreover, the vast majority of currently Specifically, we introduce a set of ...We present a probabilistic formulation of max-margin matrix factorization and build investigate the extent to which the non-Poissonian feature affects the efficiency (MLN) ...We present a reformulation of the information bottleneck (IB) problem in terms of nonparanormal graphical model and provide theoretical guarantees for graph estimation neurons using FPGA,Active learning of model evidence using Bayesian Quadrature,Coupling nonparametric mixtures via latent Dirichlet processes,Nonparametric max-margin matrix factorization for collaborative prediction,Bayesian hierarchical reinforcement learning,Dynamic pruning of factor graphs for maximum marginal prediction,Local supervised learning through space partitioning,A generative model for parts-based object segmentation,The Bethe partition function of log-supermodular graphical models,A new metric on the manifold of kernel matrices with application to matrix geometric means,Mandatory leaf node prediction in hierarchical multilabel classification,Smooth-projected neighborhood pursuit for high-dimensional nonparanormal graph estimation,Semiparametric principal component analysis,Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal Krizhevsky, A., Sutskever, I. and Hinton, G.E. and Copula PCA. foreground object's.Sign-random-projection locality-sensitive hashing (SRP-LSH) is a probabilistic dimension The 7th and final volume, LNCS 11307, is organized in topical sections on robotics and control; biomedical applications; and hardware.Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties,Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game,A Learning Based Recovery for Damaged Snake-Like Robots,Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments,Q Value-Based Dynamic Programming with Boltzmann Distribution by Using Neural Network,Data-Driven and Collision-Free Hybrid Crowd Simulation Model for Real Scenario,Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise,Pinning Synchronization of Complex Networks with Switching Topology and a Dynamic Target System,The Deep Input-Koopman Operator for Nonlinear Systems,Multi-UAV Collaborative Monocular SLAM Focusing on Data Sharing,Comparing Computing Platforms for Deep Learning on a Humanoid Robot,Min-Max Consensus Algorithm for Multi-agent Systems Subject to Privacy-Preserving Problem,Robot Navigation on Slow Feature Gradients,Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles,Adaptive Finite-Time Synchronization of Inertial Neural Networks with Time-Varying Delays via Intermittent Control,Adaptive Critic Designs of Optimal Control for Ice Storage Air Conditioning Systems,Impulsive Constraint Control of Coupled Neural Network Model with Actual Saturation,Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems,Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function,Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network,Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural Networks,Modelling Predictive Information of Stochastic Dynamics in the Retina,Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming,Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method,Interactive Incremental Online Learning of Objects Onboard of a Cooperative Autonomous Mobile Robot,Resilient Consensus for Multi-agent Networks with Mobile Detectors,Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots,Dynamics Based Fuzzy Adaptive Impedance Control for Lower Limb Rehabilitation Robot,A New Overvoltage Control Method Based on Active and Reactive Power Coupling,A Neural Network Compensation Technique for an Inertia Estimation Error of a Time-Delayed Controller for a Robot Manipulator,Estimating Criticality of Resting-State Phase Synchronization Network Based on EEG Source Signals,A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI,Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN,Robust Segmentation of Overlapping Cells in Cervical Cytology Using Light Convolution Neural Network,Semantic Similarity Measures to Disambiguate Terms in Medical Text,Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect,Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis,Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition,3D Large Kernel Anisotropic Network for Brain Tumor Segmentation,Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression,Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery,EEG Sparse Representation Based Alertness States Identification Using Gini Index,Attention-Based Network for Cross-View Gait Recognition,Experimental Validation of Minimum-Jerk Principle in Physical Human-Robot Interaction,Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images,The Relationship Between the Movement Difficulty and Brain Activity Before Arm Movements,A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems,Automated Tongue Segmentation in Chinese Medicine Based on Deep Learning,Deep Feature Learning and Visualization for EEG Recording Using Autoencoders,A Feature Filter for EEG Using Cycle-GAN Structure,Influence of Difference of Spatial Information Obtained from a Moving Virtual Sound Presentation on Auditory BCI,Association Study of Alzheimer’s Disease with Tree-Guided Sparse Canonical Correlation Analysis,Relevance of Frequency of Heart-Rate Peaks as Indicator of ‘Biological’ Stress Level,Development of a Real-Time Motor-Imagery-Based EEG Brain-Machine Interface,Robust Eye Center Localization Based on an Improved SVR Method,Hopfield Neural Network with Double-Layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-Type Synapse Elements and Working Confirmation of Letter Recognition,FPGA Based Hardware Implementation of Simple Dynamic Binary Neural Networks,Fast Depthwise Separable Convolution for Embedded Systems,An Analog Circuit Design for k-Winners-Take-All Operations,NVM Weight Variation Impact on Analog Spiking Neural Network Chip.

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