[PAPER]@Telematika

Denoising

Paper Group ANR 763

January 29, 2020

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk. P-ODN: Prototype based Open Deep Network for Open Set Recognition. LATTE: Latent Type Modeling for Biomedical Entity Linking. YELM: End-to-End Contextualized Entity Linking. Object Detection in Specific Traffic Scenes using …

Paper Group ANR 764

January 29, 2020

Optimal Unsupervised Domain Translation. On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics. Multi-Grained Spatio-temporal Modeling for Lip-reading. Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio. Double Transfer Learning for Breast Cancer Histopatholo …

Paper Group ANR 767

January 29, 2020

Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference. Beyond Top-Grasps Through Scene Completion. Trajectory-Based Recognition of Dynamic Persian Sign Language Using Hidden Markov Model. Neural Decoder for Topological Codes using Pseudo-Inverse of Parity Check Matrix. A Baseline Neural Machine Translation System for Indian …

Paper Group ANR 1011

January 28, 2020

Path Capsule Networks. AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering. Topological Interpretation of Interactive Computation. Active and Passive Portfolio Management with Latent Factors. A collaborative filtering model with heterogeneous neural networks for recommender systems. Classifying Partially …

Paper Group ANR 1016

January 28, 2020

A New Approach for Explainable Multiple Organ Annotation with Few Data. Stochastic Inverse Reinforcement Learning. Parareal with a Learned Coarse Model for Robotic Manipulation. Generalized Linear Rule Models. Generative Imaging and Image Processing via Generative Encoder. A Hierarchical Bayesian Model for Size Recommendation in Fashion. A Deep Lea …

Paper Group ANR 1030

January 28, 2020

Bayesian Nonparametric Boolean Factor Models. A Syntactic Operator for Forgetting that Satisfies Strong Persistence. Low-rank approximations of hyperbolic embeddings. Certifiably Optimal Sparse Inverse Covariance Estimation. Regularizing Trajectory Optimization with Denoising Autoencoders. Neural Policy Gradient Methods: Global Optimality and Rates …

Paper Group ANR 1053

January 28, 2020

Neural tangent kernels, transportation mappings, and universal approximation. An enhanced KNN-based twin support vector machine with stable learning rules. Learning Compact Models for Planning with Exogenous Processes. RGB-D Individual Segmentation. Distance Geometry and Data Science. Robustness Of Saak Transform Against Adversarial Attacks. Ultra- …

Paper Group ANR 1065

January 28, 2020

Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. Argument Component Classification for Classroom Discussions. Deep Learning for Fine-Grained Image Analysis: A Survey. Stock Price Forecasting and Hypothesis Testing Using Neural Networks. Equipping Experts/Bandits with Long-term Memory. Differential Privacy for …

Paper Group ANR 773

January 28, 2020

Proving the NP-completeness of optimal moral graph triangulation. Supervised Online Hashing via Similarity Distribution Learning. TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. A Compared Study Between Some Subspace Based Algorithms. Distributionally Robust Removal of Malicious Nod …

Paper Group ANR 781

January 28, 2020

Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain. An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications. Modelling Dynamic Interactions between Relevance Dimensions. Cognitive Model Priors for Predicting Human Decisions. Unremarkable AI: Fitting Intelligent Decis …

Paper Group ANR 791

January 28, 2020

On Physical Adversarial Patches for Object Detection. MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground Imagery. Author Profiling for Hate Speech Detection. DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections. Distributed Metropolis Sampler with Optimal Parallelism. Trouble on the Horizon: F …

Paper Group ANR 796

January 28, 2020

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. Sim2real transfer learning for 3D human pose estimation: motion to the rescue. Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. Bayesian Inference of Spacecraft Pose using …

Paper Group ANR 800

January 28, 2020

Noisy multi-label semi-supervised dimensionality reduction. a novel cross-lingual voice cloning approach with a few text-free samples. Spectral-GANs for High-Resolution 3D Point-cloud Generation. Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network. Transferring knowledge from monitored to unmonitored areas for …

Paper Group ANR 883

January 28, 2020

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus. A Randomized Algorithm for Preconditioner Selection. DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. Distributionally Robust Multi-instance Learning with Stable Instances. Kernel-Guided Training of Impl …

Paper Group ANR 894

January 28, 2020

Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning. Early Detection of Diabetic Retinopathy and Severity Scale Measurement: A Progressive Review & Scopes. Adversarial Training is a Form of Data-dependent Operator Norm Regularization. Approximate Representer Theorems in Non-reflexive Banach Spaces. ISP4 …

Paper Group ANR 909

January 28, 2020

Optimal low rank tensor recovery. AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. Decoding of visual-related information from the human EEG using an end-to-end deep learning approach. Joint Spatial and Angular Super-Resolution from a Single Image. Triangulation: Why Optimize?. Generating Highly Relevant Questions. Basis Prediction Ne …

Paper Group ANR 923

January 28, 2020

Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery. Deep K-SVD Denoising. Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Learning Fair and Interpretable Representations via Linear Orthogonalization. Model …

Paper Group ANR 939

January 28, 2020

A Strong and Robust Baseline for Text-Image Matching. Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data. A Rigorous Theory of Conditional Mean Embeddings. Metrics for Learning in Topological Persistence. Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search. Semi-supervis …

Paper Group ANR 951

January 28, 2020

Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques. Generating Justifications for Norm-Related Agent Decisions. Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters. Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless N …

Paper Group ANR 958

January 28, 2020

Input Redundancy for Parameterized Quantum Circuits. Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment. Mumford-Shah Loss Functional for Image Segmentation with Deep Learning. A Retina-inspired Sampling Method for Visual Texture Reconstruction. Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. Intera …

Paper Group ANR 960

January 28, 2020

Glottal Source Processing: from Analysis to Applications. Attention Interpretability Across NLP Tasks. NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network. Video Summarization via Actionness Ranking. Widely Linear Kernels for Complex-Valued Kernel Activation Functions. Improving Human Text Comprehension through Semi-Mark …

Paper Group ANR 968

January 28, 2020

Deep learning control of artificial avatars in group coordination tasks. On Learning Meaningful Code Changes via Neural Machine Translation. Sparse Solutions of a Class of Constrained Optimization Problems. Discourse Tagging for Scientific Evidence Extraction. Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. Col …

Paper Group ANR 974

January 28, 2020

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation. Dynamic Approach for Lane Detection using Google Street View and CNN. Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version). Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint. Wind Estimation Using Quadco …

Paper Group ANR 983

January 28, 2020

Performance Analysis of Spatial and Transform Filters for Efficient Image Noise Reduction. Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization. A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmen …

Paper Group ANR 1072

January 27, 2020

Alleviating Label Switching with Optimal Transport. On Estimating Maximum Sum Rate of MIMO Systems with Successive Zero-Forcing Dirty Paper Coding and Per-antenna Power Constraint. Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations. Weighted P …

Paper Group ANR 1075

January 27, 2020

Mixture-Model-based Bounding Box Density Estimation for Object Detection. Auditing ImageNet: Towards a Model-driven Framework for Annotating Demographic Attributes of Large-Scale Image Datasets. Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding. Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation. MinWikiSplit: …

Paper Group ANR 1079

January 27, 2020

Reachability and Coverage Planning for Connected Agents: Extended Version. Amora: Black-box Adversarial Morphing Attack. Dynamic Graph Attention for Referring Expression Comprehension. Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. Detection of LDDoS Atta …

Paper Group ANR 1091

January 27, 2020

Bayesian causal inference via probabilistic program synthesis. Visual Confusion Label Tree For Image Classification. Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees. Learning to Rank Broad and Narrow Queries in E-Commerce. Amortized Rejection Sampling in Universal Probabilistic Programming. Princip …