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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
98
Voted
CVPR
2003
IEEE
16 years 2 months ago
Computing Layered Surface Representations: An Algorithm for Detecting and Separating Transparent Overlays
The biological visual system possesses the ability to compute layered surface representations, in which one surface is represented as being viewed through another. This ability is...
Manish Singh, Xiaolei Huang
96
Voted
CVPR
2004
IEEE
16 years 2 months ago
Bayesian Fusion of Camera Metadata Cues in Semantic Scene Classification
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture condit...
Matthew R. Boutell, Jiebo Luo
CVPR
2004
IEEE
16 years 2 months ago
Propagation Networks for Recognition of Partially Ordered Sequential Action
We present Propagation Networks (P-Nets), a novel approach for representing and recognizing sequential activities that include parallel streams of action. We represent each activi...
Yifan Shi, Yan Huang, David Minnen, Aaron F. Bobic...
CVPR
2005
IEEE
16 years 2 months ago
Beyond Pairwise Clustering
We consider the problem of clustering in domains where the affinity relations are not dyadic (pairwise), but rather triadic, tetradic or higher. The problem is an instance of the ...
Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pi...