Learning Features of Music from Scratch. Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning. BreakingNews: Article Annotation by Image and Text Processing. Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity. Generation of Near-Optimal Solutions …

Daleel: Simplifying Cloud Instance Selection Using Machine Learning. SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine. Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series. Greedy bi-criteria …

Emotional Intensity analysis in Bipolar subjects. Theoretical Analysis of Domain Adaptation with Optimal Transport. Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches. Preference Elicitation For Single Crossing Domain. Situated Structure Learning of a Bayesian Logic Network for Commonsense Reasoning. A Sparse PCA Approach to Cl …

Shallow and Deep Convolutional Networks for Saliency Prediction. Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs. An Efficient Training Algorithm for Kernel Survival Support Vector Machines. Double Thompson Sampling for Dueling Bandits. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. Causal Lear …

Discrete Variational Autoencoders. Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields. Off-policy evaluation for slate recommendation. DisturbLabel: Regularizing CNN on the Loss Layer. Superpixel Segmentation Using Gaussian Mixture Model. Knowledge Elicitation via Sequential Probabil …

Scaling up Dynamic Topic Models. Discovering Useful Parts for Pose Estimation in Sparsely Annotated Datasets. Liquid Democracy: An Analysis in Binary Aggregation and Diffusion. Advances in Very Deep Convolutional Neural Networks for LVCSR. Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model. Support Vector Machines and Generalisatio …

Distributed Adaptive Learning of Graph Signals. Deep encoding of etymological information in TEI. A Model of Multi-Agent Consensus for Vague and Uncertain Beliefs. Riemannian stochastic variance reduced gradient on Grassmann manifold. Emotion-Based Crowd Representation for Abnormality Detection. Solving Large-scale Systems of Random Quadratic Equat …

High dimensional thresholded regression and shrinkage effect. Grid-like structure is optimal for path integration. Adaptive Training of Random Mapping for Data Quantization. Feature Learning from Spectrograms for Assessment of Personality Traits. A Novel Approach for Data-Driven Automatic Site Recommendation and Selection. Non-Central Catadioptric …

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 …