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» Evaluating Hierarchical Discourse Segmentation
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CVPR
2007
IEEE
15 years 11 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
Frédo Durand, Sylvain Paris
63
Voted
ESANN
2003
14 years 11 months ago
Meter value recognition using locally connected hierarchical networks
This paper describes a two-stage system for the recognition ge meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained in a sup...
Sven Behnke
64
Voted
JSW
2008
106views more  JSW 2008»
14 years 9 months ago
Hierarchical Image Segmentation by Structural Content
Image quality loss resulting from artifacts depends on the nature and strength of the artifacts as well as the context or background in which they occur. In order to include the im...
Nathir A. Rawashdeh, Shaun T. Love, Kevin D. Donoh...
96
Voted
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Improving Speaker Diarization by Cross EM Refinement
In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational co...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
85
Voted
CVPR
2012
IEEE
12 years 12 months ago
Evaluation of super-voxel methods for early video processing
Supervoxel segmentation has strong potential to be incorporated into early video analysis as superpixel segmentation has in image analysis. However, there are many plausible super...
Chenliang Xu, Jason J. Corso