machine learning

Paper Group ANR 209

Paper Group ANR 209

May 6, 2019

Improving Multi-Document Summarization via Text Classification. Bayesian Non-parametric model to Target Gamification Notifications Using Big Data. Maximin Action Identification: A New Bandit Framework for Games. Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging. Nonlinear Adaptive Algorithms on Rank-O …
Paper Group ANR 210

Paper Group ANR 210

May 6, 2019

Dynamic Principal Component Analysis: Identifying the Relationship between Multiple Air Pollutants. Temporal Logic Programs with Variables. Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing. Pushing the Limits of Deep CNNs for Pedestrian Detection. Learning Multilayer Channel Features for Pedestrian Detection. CNN-based …
Paper Group ANR 211

Paper Group ANR 211

May 6, 2019

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 …
Paper Group ANR 213

Paper Group ANR 213

May 6, 2019

COCO: Performance Assessment. Estimation of low rank density matrices: bounds in Schatten norms and other distances. Distributed-memory large deformation diffeomorphic 3D image registration. Ternary Neural Networks for Resource-Efficient AI Applications. Frank-Wolfe Algorithms for Saddle Point Problems. How to be Fair and Diverse?. Spoofing detecti …
Paper Group ANR 214

Paper Group ANR 214

May 6, 2019

Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities. Video Fill in the Blank with Merging LSTMs. WordNet2Vec: Corpora Agnostic Word Vectorization Method. Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams. Anomaly Detection with the …
Paper Group ANR 215

Paper Group ANR 215

May 6, 2019

Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions. Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals. Tuning-Free Heterogeneity Pursuit in Massive Networks. Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification. The Edit Dista …
Paper Group ANR 216

Paper Group ANR 216

May 6, 2019

Exploring Segment Representations for Neural Segmentation Models. A Theory of Generative ConvNet. Optimal Margin Distribution Machine. Asymmetric Move Selection Strategies in Monte-Carlo Tree Search: Minimizing the Simple Regret at Max Nodes. Different approaches for identifying important concepts in probabilistic biomedical text summarization. A n …
Paper Group ANR 217

Paper Group ANR 217

May 6, 2019

Neural Networks with Manifold Learning for Diabetic Retinopathy Detection. On the Complexity of Constrained Determinantal Point Processes. Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing. Distributed Multi-Task Learning with Shared Representation. Retrieving challenging vessel connections in retinal ima …
Paper Group ANR 219

Paper Group ANR 219

May 6, 2019

Multi-View Constraint Propagation with Consensus Prior Knowledge. DeepDGA: Adversarially-Tuned Domain Generation and Detection. Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent. Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution. Symmetry, Saddle Points, and Global Optimiza …
Paper Group ANR 220

Paper Group ANR 220

May 6, 2019

Classical Statistics and Statistical Learning in Imaging Neuroscience. Syntactic Enhancement to VSIMM for Roadmap Based Anomalous Trajectory Detection: A Natural Language Processing Approach. Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation. A Tour of TensorFlow. End-to-End Localization and Ranking for …
Paper Group ANR 221

Paper Group ANR 221

May 6, 2019

Network Modeling of Short Over-Dispersed Spike-Counts: A Hierarchical Parametric Empirical Bayes Framework. Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. Investigating echo state networks dynamics by means of recurrence analysis. Dynamic Key-Value Memory Networks for Knowledge Tracing. How deep is kno …
Paper Group ANR 222

Paper Group ANR 222

May 6, 2019

Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging. KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge. Saliency Driven Object recognition in egocentric videos with deep CNN. Fast Predictive Image Registration. Hierarchical Latent Word Clustering. Generalized Entropies and the Simi …
Paper Group ANR 223

Paper Group ANR 223

May 6, 2019

Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition. Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge. `Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm …
Paper Group ANR 224

Paper Group ANR 224

May 6, 2019

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 …
Paper Group ANR 225

Paper Group ANR 225

May 6, 2019

End-to-end training of object class detectors for mean average precision. Efficiently Creating 3D Training Data for Fine Hand Pose Estimation. evt_MNIST: A spike based version of traditional MNIST. Transfer Learning Based on AdaBoost for Feature Selection from Multiple ConvNet Layer Features. Enlightening Deep Neural Networks with Knowledge of Conf …
Paper Group ANR 226

Paper Group ANR 226

May 6, 2019

On Learning High Dimensional Structured Single Index Models. Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?. The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction. Five dimensions of reasoning in the wild. Learning Compatibility Across Categories for Hete …
Paper Group ANR 227

Paper Group ANR 227

May 6, 2019

Learning convolutional neural network to maximize Pos@Top performance measure. A Neural Autoregressive Approach to Collaborative Filtering. Dimensionality Reduction via Regression in Hyperspectral Imagery. Continuous occurrence theory. Gland Instance Segmentation by Deep Multichannel Neural Networks. Measuring the State of the Art of Automated Path …
Paper Group ANR 228

Paper Group ANR 228

May 6, 2019

Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions. On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016. Deep Image Category Discovery using a Transferred Similarity Function. Enabling Medi …
Paper Group ANR 229

Paper Group ANR 229

May 6, 2019

Unified View of Matrix Completion under General Structural Constraints. Automatic Face Reenactment. Deep Supervised Hashing with Triplet Labels. Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning. Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets. Detecting Dominant Vanishing P …
Paper Group ANR 231

Paper Group ANR 231

May 6, 2019

Towards Practical Bayesian Parameter and State Estimation. Sequence Segmentation Using Joint RNN and Structured Prediction Models. On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks. Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification. A Representation Theory Per …
Paper Group ANR 233

Paper Group ANR 233

May 6, 2019

Action Recognition in Video Using Sparse Coding and Relative Features. Searching for Topological Symmetry in Data Haystack. Self-Paced Learning: an Implicit Regularization Perspective. Social Computing for Mobile Big Data in Wireless Networks. A Base Camp for Scaling AI. Global Constraint Catalog, Volume II, Time-Series Constraints. A landmark-base …
Paper Group ANR 234

Paper Group ANR 234

May 6, 2019

Optimized Kernel-based Projection Space of Riemannian Manifolds. Fair Division via Social Comparison. A novel learning-based frame pooling method for Event Detection. The RNN-ELM Classifier. Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016. Efficient Continuous Relaxations for Dense CRF. Enhancing Use Case Poi …
Paper Group ANR 235

Paper Group ANR 235

May 6, 2019

Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Main Principles. Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks. Fast, Robust, Continuous Monocular Egomotion Computation. Geometric-Algebra LMS Adaptive Filter and its Application to Rotation Estimation. Beyond Sharing Weights for De …
Paper Group ANR 236

Paper Group ANR 236

May 6, 2019

Learnable Visual Markers. Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation. Multi-task CNN Model for Attribute Prediction. RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature. Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Ne …
Paper Group ANR 237

Paper Group ANR 237

May 6, 2019

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder. Exploitation of Semantic Keywords for Malicious Event Classification. Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy. On the Resistance of Nearest Neighbor to Random Noisy Labels. Reverse Engineering and Symbolic Knowledge Extraction …
Paper Group ANR 238

Paper Group ANR 238

May 6, 2019

Enriching Linked Datasets with New Object Properties. Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis. Color Homography Color Correction. Steerable Principal Components for Space-Frequency Localized Images. Lexicon Integrated CNN Models with Attention for Sentiment Analysis. Semi-supervised Learning with …
Paper Group ANR 239

Paper Group ANR 239

May 6, 2019

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 …
Paper Group ANR 240

Paper Group ANR 240

May 6, 2019

Dataiku’s Solution to SPHERE’s Activity Recognition Challenge. A Stackelberg Game Perspective on the Conflict Between Machine Learning and Data Obfuscation. How scientific literature has been evolving over the time? A novel statistical approach using tracking verbal-based methods. Characterization of Lung Nodule Malignancy using Hybrid Shape and Ap …