Feature Encoding in Band-limited Distributed Surveillance Systems. Matrix Variate RBM Model with Gaussian Distributions. Revealing Structure in Large Graphs: Szemerédi’s Regularity Lemma and its Use in Pattern Recognition. Clustering Algorithms: A Comparative Approach. Online Learning with Low Rank Experts. An application of incomplete pairwise com …

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models. Understanding the Energy and Precision Requirements for Online Learning. Active Algorithms For Preference Learning Problems with Multiple Populations. Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures. Adaptive Feature Abstraction for T …

Subjects and Their Objects: Localizing Interactees for a Person-Centric View of Importance. Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints. Fleet Size and Mix Split-Delivery Vehicle Routing. Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition. Seq-NMS for Video Object Detecti …

Ensemble Methods of Classification for Power Systems Security Assessment. Firefly Algorithm for optimization problems with non-continuous variables: A Review and Analysis. Shamela: A Large-Scale Historical Arabic Corpus. On the Complexity of Connection Games. Ordinal Constrained Binary Code Learning for Nearest Neighbor Search. Deep Attributes Driv …

Generalized optimal sub-pattern assignment metric. A Decomposable Attention Model for Natural Language Inference. Deep Video Deblurring. A Deep Learning Approach to Block-based Compressed Sensing of Images. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. Text Classification Improved by Integrating Bidirectional LSTM with Two …

Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information. Forecasting Framework for Open Access Time Series in Energy. Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses. Nonparametric Bayesian inference of the microcanonical stochastic block mode …

Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach. Knowledge Extraction and Knowledge Integration governed by Łukasiewicz Logics. A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure. Mitochondria-based Renal Cell Carcinoma Subtyping: Learni …

Visual Fashion-Product Search at SK Planet. Nonnegative autoencoder with simplified random neural network. Fast Learning with Nonconvex L1-2 Regularization. Probabilistic Reasoning via Deep Learning: Neural Association Models. Enablers and Inhibitors in Causal Justifications of Logic Programs. Deep Semi-Supervised Learning with Linguistically Motiv …

Image Colorization Using a Deep Convolutional Neural Network. PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation. Iterative Refinement for Machine Translation. Direct Visual Odometry using Bit-Planes. Filter based Taxonomy Modification for Improving Hierarchical Classification. Texture and Color-based Image Retrieval Using the Loca …