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» Improving distant supervision using inference learning
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PR
2006
141views more  PR 2006»
13 years 9 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
CVPR
2011
IEEE
13 years 6 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller
ECCV
2008
Springer
14 years 11 months ago
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation
Abstract. Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture...
Greg Mori, Yang Wang 0003
ICML
2009
IEEE
14 years 4 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
DAGM
2011
Springer
12 years 9 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann