Fuzzy Statistical Matrices for Cell Classification. Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning. Leveraging Unstructured Data to Detect Emerging Reliability Issues. Scalable Approximations for Generalized Linear Problems. Bibliographic Analysis with the Citation Network Topic Model. Towards Neural Knowledge DNA. …

Tracking System to Automate Data Collection of Microscopic Pedestrian Traffic Flow. A propagation matting method based on the Local Sampling and KNN Classification with adaptive feature space. Joint Sensing Matrix and Sparsifying Dictionary Optimization for Tensor Compressive Sensing. Machine Learning in Falls Prediction; A cognition-based predicto …

DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification. Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. Distributed and parallel time series feature extraction for industrial big data applications. A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. Programming P …

Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs. Mapping Tractography Across Subjects. A new primal-dual algorithm for minimizing the sum of three functions with a linear operator. On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays. Quantum spectral analysis: frequency in time, with applicatio …

Data Dependent Convergence for Distributed Stochastic Optimization. Pruning Random Forests for Prediction on a Budget. In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation. Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks. AutoGP: Exploring the Capabilities …

On the Diagnostic of Road Pathway Visibility. Beyond knowing that: a new generation of epistemic logics. Non-Negative Matrix Factorizations for Multiplex Network Analysis. Tensor Ring Decomposition. The “Sprekend Nederland” project and its application to accent location. What is the distribution of the number of unique original items in a bootstrap …

Multi-level Contextual RNNs with Attention Model for Scene Labeling. Active Sensing of Social Networks. Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation. Exploiting Facial Landmarks for Emotion Recognition in the Wild. On the Worst-case Communication Overhead for Distributed Data Shuffling. Programming in logic …

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 …

Convolutional Random Walk Networks for Semantic Image Segmentation. Sub-Sampled Newton Methods I: Globally Convergent Algorithms. Informative Planning and Online Learning with Sparse Gaussian Processes. Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. Context-Aware Online Learning for Course Re …