Adams Conditioning and Likelihood Ratio Transfer Mediated Inference. Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. Information Projection and Approximate Inference for Structured Sparse Variables. Learning Moore Machines from Input-Output Traces. A …

Image Denoising with Kernels based on Natural Image Relations. Ensemble preconditioning for Markov chain Monte Carlo simulation. Recognizing and Eliciting Weakly Single Crossing Profiles on Trees. A Learning Algorithm for Relational Logistic Regression: Preliminary Results. Analysis of a low memory implementation of the Orthogonal Matching Pursuit …

Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation. Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets. Part-of-Speech Relevance Weights for Learning Word Embeddings. A supermartingale approach to Gaussian process based sequential design of experiments. Query Clustering using Segment Specific Contex …

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 …