Stacked Autoencoders for Medical Image Search. Unsupervised Non Linear Dimensionality Reduction Machine Learning methods applied to Multiparametric MRI in cerebral ischemia: Preliminary Results. Visual Relationship Detection with Language Priors. Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Fu …

Bag of Attributes for Video Event Retrieval. Estimating Uncertainty Online Against an Adversary. Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis. A Fast Keypoint Based Hybrid Method for Copy Move Forgery Detection. Latent Tree Analysis. Near-optimal Bayesian Active Learning wit …

Early Methods for Detecting Adversarial Images. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. Unrolled Generative Adversarial Networks. A Neural Approach to Blind Motion Deblurring. YouTube-8M: A Large-Scale Video Classification Benchmark. Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL A …

Compressive K-means. Should Terminology Principles be re-examined?. The Univariate Flagging Algorithm (UFA): a Fully-Automated Approach for Identifying Optimal Thresholds in Data. Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. Online Rules for Control of False Discovery Rate and False Discovery Exceedance. Dynamical …

The SP Theory of Intelligence as a Foundation for the Development of a General, Human-Level Thinking Machine. Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning. Convergence of Contrastive Divergence with Annealed Learning Rate in Exponential Family. Ontology Driven Disease Incidence Detection on Twit …

Robust and Sparse Regression via $γ$-divergence. Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures. Improving Fully Convolution Network for Semantic Segmentation. RGB-D-based Action Recognition Datasets: A Survey. Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach. A Perspective on Sentim …

Bootstrapping incremental dialogue systems: using linguistic knowledge to learn from minimal data. Bayesian Model Selection of Stochastic Block Models. subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. Stochastic Variance Reduction Methods for Saddle-Point Problems. Solving Systems of Random Quadratic Equati …

Semantic Facial Expression Editing using Autoencoded Flow. Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning. Conversational Markers of Constructive Discussions. Syntactically Guided Neural Machine Translation. Stochastic Dykstra Algorithms for Metric Learning on Positive Semi-Definite Cone. Detecting Moving …

Eyes Don’t Lie: Predicting Machine Translation Quality Using Eye Movement. 以語言模型評估學習者文句修改前後之流暢度(Using language model to assess the fluency of learners sentences edited by teachers)[In Chinese]. Investigating LSTMs for Joint Extraction of Opinion Entities and Relations. Knowledge-Driven Event Embedding for Stock Prediction. Information structure in …