computer vision

Paper Group ANR 1

Paper Group ANR 1

May 7, 2019

Posterior Sampling for Reinforcement Learning Without Episodes. Maxmin convolutional neural networks for image classification. Knowledge Completion for Generics using Guided Tensor Factorization. Synthesis of Gaussian Trees with Correlation Sign Ambiguity: An Information Theoretic Approach. A Unified Framework for Sparse Non-Negative Least Squares …
Paper Group ANR 10

Paper Group ANR 10

May 7, 2019

DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters. Optimizing Quantiles in Preference-based Markov Decision Processes. EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos. Learning Over Long Time Lags. Bayesian Variable Selection for Globally Sparse Probabilisti …
Paper Group ANR 100

Paper Group ANR 100

May 7, 2019

Learning Features of Music from Scratch. Alternative Technique to Asymmetry Analysis-Based Overlapping for Foot Ulcer Examination: Scalable Scanning. BreakingNews: Article Annotation by Image and Text Processing. Radial Velocity Retrieval for Multichannel SAR Moving Targets with Time-Space Doppler De-ambiguity. Generation of Near-Optimal Solutions …
Paper Group ANR 101

Paper Group ANR 101

May 7, 2019

Learning and Tuning Meta-heuristics in Plan Space Planning. Diet2Vec: Multi-scale analysis of massive dietary data. Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs. Evolutionary computation for multicomponent problems: opportunities and future directions. Fast estimation of approximate matrix r …
Paper Group ANR 102

Paper Group ANR 102

May 7, 2019

Markov models for ocular fixation locations in the presence and absence of colour. PCG-Based Game Design Patterns. Topic Sensitive Neural Headline Generation. Machine Learning Techniques with Ontology for Subjective Answer Evaluation. e-Commerce product classification: our participation at cDiscount 2015 challenge. Minimum cost polygon overlay with …
Paper Group ANR 108

Paper Group ANR 108

May 7, 2019

An Empirical Study on Academic Commentary and Its Implications on Reading and Writing. Fast Training of Convolutional Neural Networks via Kernel Rescaling. Fusion of EEG and Musical Features in Continuous Music-emotion Recognition. Multi-pretrained Deep Neural Network. Interdependent Scheduling Games. Dense Image Representation with Spatial Pyramid …
Paper Group ANR 109

Paper Group ANR 109

May 7, 2019

Visual place recognition using landmark distribution descriptors. 2D Visual Place Recognition for Domestic Service Robots at Night. Digitizing Municipal Street Inspections Using Computer Vision. KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm. Joint mean and covariance estimation with unreplicated matrix-varia …
Paper Group ANR 11

Paper Group ANR 11

May 7, 2019

Associative Memory using Dictionary Learning and Expander Decoding. Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos. A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. Importance Sampling for Minibatches. Domain Transfer Multi-Instance Dictionary Learning. Learning Semantic Part-Based Models …
Paper Group ANR 111

Paper Group ANR 111

May 7, 2019

Daleel: Simplifying Cloud Instance Selection Using Machine Learning. SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine. Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series. Greedy bi-criteria …
Paper Group ANR 112

Paper Group ANR 112

May 7, 2019

Multivariate Dependence Beyond Shannon Information. Learning Adaptive Parameter Tuning for Image Processing. UTCNN: a Deep Learning Model of Stance Classificationon on Social Media Text. Better Image Segmentation by Exploiting Dense Semantic Predictions. HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Med …
Paper Group ANR 119

Paper Group ANR 119

May 7, 2019

Stochastic Gradient Descent in Continuous Time. A Sub-Quadratic Exact Medoid Algorithm. Matching models across abstraction levels with Gaussian Processes. Towards Label Imbalance in Multi-label Classification with Many Labels. Areas of Attention for Image Captioning. Multi-Class Multi-Object Tracking using Changing Point Detection. A Communication- …
Paper Group ANR 12

Paper Group ANR 12

May 7, 2019

Stochastic Backpropagation through Mixture Density Distributions. UniMiB SHAR: a new dataset for human activity recognition using acceleration data from smartphones. Recurrent Memory Addressing for describing videos. Multidimensional Binary Search for Contextual Decision-Making. A Recursive Born Approach to Nonlinear Inverse Scattering. Machine Lea …
Paper Group ANR 124

Paper Group ANR 124

May 7, 2019

Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets. What to do about non-standard (or non-canonical) language in NLP. Churn analysis using deep convolutional neural networks and autoencoders. Prediction of Seasonal Temperature Using Soft Computing Techniques: Application in Benevento (Southern Italy) Area. lpopt: A …
Paper Group ANR 125

Paper Group ANR 125

May 7, 2019

Blind Deconvolution of PET Images using Anatomical Priors. Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing. Robust nonparametric nearest neighbor random process clustering. Similarity Learning for Time Series Classification. PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning. Multiple Instanc …
Paper Group ANR 127

Paper Group ANR 127

May 7, 2019

Fuzzy Statistical Matrices for Cell Classification. Scene Labeling using Gated Recurrent Units with Explicit Long Range Conditioning. Leveraging Unstructured Data to Detect Emerging Reliability Issues. Scalable Approximations for Generalized Linear Problems. Bibliographic Analysis with the Citation Network Topic Model. Towards Neural Knowledge DNA. …
Paper Group ANR 13

Paper Group ANR 13

May 7, 2019

Decentralized Clustering and Linking by Networked Agents. A Locally Adaptive Normal Distribution. On the prediction loss of the lasso in the partially labeled setting. Determining Health Utilities through Data Mining of Social Media. On the exact learnability of graph parameters: The case of partition functions. A Binary Convolutional Encoder-decod …
Paper Group ANR 131

Paper Group ANR 131

May 7, 2019

Hierarchical Memory Networks. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. Ask the GRU: Multi-Task Learning for Deep Text Recommendations. A Machine Learning Nowcasting Method based on Real-time Reanalysis Data. Environmental Noise Embeddings for Robust Speech Recognition. DeepSoft: A vision for a deep model of softwa …
Paper Group ANR 138

Paper Group ANR 138

May 7, 2019

Neural networks for the prediction organic chemistry reactions. And the Winner is …: Bayesian Twitter-based Prediction on 2016 U.S. Presidential Election. Detecting Breast Cancer using a Compressive Sensing Unmixing Algorithm. Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks. Lensless Imaging with Compressive Ultrafa …
Paper Group ANR 139

Paper Group ANR 139

May 7, 2019

WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines. Information Theoretically Aided Reinforcement Learning for Embodied Agents. A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults. Study …
Paper Group ANR 14

Paper Group ANR 14

May 7, 2019

Preference at First Sight. Fast model selection by limiting SVM training times. Bayesian generalized fused lasso modeling via NEG distribution. Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM. Linguistically Regularized LSTMs for Sentiment Classification. Sequential Person Recognition in Photo Albums with a R …
Paper Group ANR 141

Paper Group ANR 141

May 7, 2019

A Large Scale Corpus of Gulf Arabic. A survey of sparse representation: algorithms and applications. Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks. metricDTW: local distance metric learning in Dynamic Time Warping. The high-conductance state enables neural sampling in networks of LIF neuron …
Paper Group ANR 143

Paper Group ANR 143

May 7, 2019

The Complexity of Bayesian Networks Specified by Propositional and Relational Languages. Engineering Safety in Machine Learning. Accelerated Gradient Temporal Difference Learning. Poisson Random Fields for Dynamic Feature Models. Hitting times of local and global optima in genetic algorithms with very high selection pressure. Recovering Multiple No …
Paper Group ANR 144

Paper Group ANR 144

May 7, 2019

Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification. Learning Shapes by Convex Composition. An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning. On-line Bayesian System Identification. A metric for sets of trajectories that is practical and mathematically consistent. No …
Paper Group ANR 146

Paper Group ANR 146

May 7, 2019

A strengthening of rational closure in DLs: reasoning about multiple aspects. Generative Adversarial Nets from a Density Ratio Estimation Perspective. Parametric Exponential Linear Unit for Deep Convolutional Neural Networks. Deeply Aggregated Alternating Minimization for Image Restoration. Pose from Action: Unsupervised Learning of Pose Features b …
Paper Group ANR 147

Paper Group ANR 147

May 7, 2019

Summarizing Situational and Topical Information During Crises. Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. Finding Optimal Combination of Kernels using Genetic Programming. Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. Introducing a Calculus of Effects and Handlers for Natur …
Paper Group ANR 15

Paper Group ANR 15

May 7, 2019

Annotation Methodologies for Vision and Language Dataset Creation. An Operator Theoretic Approach to Nonparametric Mixture Models. Non-flat Ground Detection Based on A Local Descriptor. Small ensembles of kriging models for optimization. Grammatical Case Based IS-A Relation Extraction with Boosting for Polish. The Challenge of Non-Technical Loss De …
Paper Group ANR 151

Paper Group ANR 151

May 7, 2019

Latest Datasets and Technologies Presented in the Workshop on Grasping and Manipulation Datasets. Partial Recovery Bounds for the Sparse Stochastic Block Model. Image segmentation of cross-country scenes captured in IR spectrum. Which techniques does your application use?: An information extraction framework for scientific articles. Noisy Activatio …
Paper Group ANR 152

Paper Group ANR 152

May 7, 2019

High-Resolution Semantic Labeling with Convolutional Neural Networks. Dense CNN Learning with Equivalent Mappings. Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change. A Focused Dynamic Attention Model for Visual Question Answering. Exploiting Temporal Information for DCNN-based Fine-Grained Object Classifica …