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» Graph-Theoretical Methods in Computer Vision
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CVPR
2010
IEEE
16 years 3 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
CVPR
2010
IEEE
16 years 3 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
CVPR
2010
IEEE
16 years 3 months ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
CVPR
2010
IEEE
16 years 3 months ago
Sensor Saturation in Fourier Multiplexed Imaging
Optically multiplexed image acquisition techniques have become increasingly popular for encoding different exposures, color channels, light fields, and other properties of light ...
Gordon Wetzstein, Ivo Ihrke, Wolfgang Heidrich
229
Voted
CVPR
2010
IEEE
1639views Computer Vision» more  CVPR 2010»
16 years 2 months ago
Multi-Target Tracking of Time-varying Spatial Patterns
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Jingchen Liu, Yanxi Liu