conftrace_

Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

5
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527
1644
10862
15958
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Papers (including subtopics)

Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold CVPR 2015
Large-Scale Damage Detection Using Satellite Imagery CVPR 2015
A Novel Locally Linear KNN Model for Visual Recognition CVPR 2015
Bilinear Random Projections for Locality-Sensitive Binary Codes CVPR 2015
Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation CVPR 2015
Superpixel Segmentation Using Linear Spectral Clustering CVPR 2015
Person Count Localization in Videos From Noisy Foreground and Detections CVPR 2015
Good Features to Track for Visual SLAM CVPR 2015
Discovering States and Transformations in Image Collections CVPR 2015
Classifier Adaptation at Prediction Time CVPR 2015
Protecting Against Screenshots: An Image Processing Approach CVPR 2015
Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction CVPR 2015
A Graphical Model Approach for Matching Partial Signatures CVPR 2015
From Captions to Visual Concepts and Back CVPR 2015
Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015
ConceptLearner: Discovering Visual Concepts From Weakly Labeled Image Collections CVPR 2015
Computationally Bounded Retrieval CVPR 2015
Discrete Hyper-Graph Matching CVPR 2015
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval CVPR 2015
Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification CVPR 2015
Learning to Propose Objects CVPR 2015
Basis Mapping Based Boosting for Object Detection CVPR 2015
Recognize Complex Events From Static Images by Fusing Deep Channels CVPR 2015
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015
Model Recommendation: Generating Object Detectors From Few Samples CVPR 2015