[PAPER]@Telematika

Awesome Open-Access Papers

Paper Group ANR 203
May 6, 2019

Paper Group ANR 203

Differential TD Learning for Value Function Approximation. Outlier Detection on Mixed-Type Data: An Energy-based Approach. A Review of 40 Years of Cognitive Architecture Research: Core Cognitive Abilities and Practical Applications. On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. A Bayesian non-paramet …

Paper Group ANR 204

Paper Group ANR 204

May 6, 2019

Length bias in Encoder Decoder Models and a Case for Global Conditioning. Dictionary Update for NMF-based Voice Conversion Using an Encoder-Decoder Network. Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box Models. Reweighted Low-Rank Tensor Completion and its Applications in Video Recovery. A Non-Local Means Approach for Gau …
Paper Group ANR 205

Paper Group ANR 205

May 6, 2019

EEF: Exponentially Embedded Families with Class-Specific Features for Classification. Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering. Modelling Interaction of Sentence Pair with coupled-LSTMs. Stability of Analytic Neural Networks with Event-triggered Synaptic Feedbacks. Optimal Generalized Decision T …
Paper Group ANR 206

Paper Group ANR 206

May 6, 2019

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables. Notes on a model for fuzzy computing. Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment. Who did What: A Lar …
Paper Group ANR 207

Paper Group ANR 207

May 6, 2019

Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising. Hierarchical learning for DNN-based acoustic scene classification. Demographic Dialectal Variation in Social Media: A Case Study of African-American English. Robustness of classifiers: from adversarial to random noise. DROW: Real-Time Deep Le …
Paper Group ANR 208

Paper Group ANR 208

May 6, 2019

Coalition Formability Semantics with Conflict-Eliminable Sets of Arguments. The discriminative Kalman filter for nonlinear and non-Gaussian sequential Bayesian filtering. Counting Answer Sets via Dynamic Programming. A Character-Word Compositional Neural Language Model for Finnish. Multi-document abstractive summarization using ILP based multi-sent …
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 212

Paper Group ANR 212

May 6, 2019

Template Matching Advances and Applications in Image Analysis. Matching of Images with Rotation Transformation Based on the Virtual Electromagnetic Interaction. Asymptotic Convergence in Online Learning with Unbounded Delays. Alzheimer’s Disease Diagnostics by Adaptation of 3D Convolutional Network. A new TAG Formalism for Tamil and Parser Analytic …
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 218

Paper Group ANR 218

May 6, 2019

Crafting GBD-Net for Object Detection. A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade. A Probabilistic Framework for Deep Learning. A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data. StruClus: Structural Clustering of Large-Scale Graph Databases. CIFAR-10: KNN-based Ensembl …
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 230

Paper Group ANR 230

May 6, 2019

Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering. On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach. Algorithms for Graph-Constrained Coalition Formation in the Real World. Prior-based Coregistration and Cosegmentation. Playing Atari Games with Deep Reinforcement Learnin …