Example-Based Image Synthesis via Randomized Patch-Matching. DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. Dynamic Decomposition of Spatiotemporal Neural Signals. Development of a 3D tongue motion visualization platform based on ultrasound image sequences. Photographic home styles in Congress: a computer vision approach. Partia …

Screening Rules for Convex Problems. Vietnamese Named Entity Recognition using Token Regular Expressions and Bidirectional Inference. Medical Image Synthesis with Context-Aware Generative Adversarial Networks. Selecting Efficient Features via a Hyper-Heuristic Approach. Using Virtual Humans to Understand Real Ones. Deep Clustering and Conventional …

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. Invariant Representations for Noisy Speech Recognition. Color Constancy with Derivative Colors. A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation. Fast and Extensible Online Multivariate Kernel Density Estimation. Microscopic Pedes …

Investigation of Synthetic Speech Detection Using Frame- and Segment-Specific Importance Weighting. Hyperspectral CNN Classification with Limited Training Samples. Recoverability of Joint Distribution from Missing Data. Interactive Illumination Invariance. An Attentional Neural Conversation Model with Improved Specificity. Forecasting Interactive D …

Adapting Sampling Interval of Sensor Networks Using On-Line Reinforcement Learning. Towards a Mathematical Understanding of the Difficulty in Learning with Feedforward Neural Networks. Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. A Deep Neural Network for Chinese Zero Pronoun Resolution. Articulated Clinician …

Semi-supervised Zero-Shot Learning by a Clustering-based Approach. Generative Image Modeling using Style and Structure Adversarial Networks. Variational Lossy Autoencoder. Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation. Temporally Robust Global Motion Compensation by Keypoint-based Congealing. Extr …

Variable Neighborhood Search Algorithms for the multi-depot dial-a-ride problem with heterogeneous vehicles and users. Path planning with Inventory-driven Jump-Point-Search. Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models. A New Android Malware Detection Approach Using Bayesi …

One-Shot Generalization in Deep Generative Models. GMM-Free Flat Start Sequence-Discriminative DNN Training. Active exploration in parameterized reinforcement learning. AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech. Distributed Multi-Task Relationship Learning. Video Propagation Networks. Tracking Amendments to Legislation and …

No bad local minima: Data independent training error guarantees for multilayer neural networks. Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood. Accelerating Deep Learning with Shrinkage and Recall. Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks. Correct classification …

Feature-Area Optimization: A Novel SAR Image Registration Method. Fast Domain Adaptation for Neural Machine Translation. Message Passing Multi-Agent GANs. Evolutionary Image Transition Based on Theoretical Insights of Random Processes. What Do Recurrent Neural Network Grammars Learn About Syntax?. Enhanced Factored Three-Way Restricted Boltzmann Ma …

Relevant based structure learning for feature selection. Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds. Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images. Adversarial Top-$K$ Ranking. Compression of …

Face-space Action Recognition by Face-Object Interactions. Generating Synthetic Data for Text Recognition. Reducing training requirements through evolutionary based dimension reduction and subject transfer. Intelligent Biohybrid Neurotechnologies: Are They Really What They Claim?. Localization for Wireless Sensor Networks: A Neural Network Approach …

On the Semantic Relationship between Probabilistic Soft Logic and Markov Logic. Sampling Method for Fast Training of Support Vector Data Description. A Model of Virtual Carrier Immigration in Digital Images for Region Segmentation. The Symmetry of a Simple Optimization Problem in Lasso Screening. Kernel-based Generative Learning in Distortion Featu …

SHEF-Multimodal: Grounding Machine Translation on Images. Learning Semantic Relatedness in Community Question Answering Using Neural Models. A Search-Based Dynamic Reranking Model for Dependency Parsing. The COPLE2 corpus: a learner corpus for Portuguese. iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity o …

A Semantically Compositional Annotation Scheme for Time Normalization. Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages. FLAT: Constructing a CLARIN Compatible Home for Language Resources. Temporal Action Detection Using a Statistical Language Model. Building compositional semantics and higher-order inf …