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» Generalizing Boundary Points
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109
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CVPR
2008
IEEE
16 years 5 months ago
Local grouping for optical flow
Optical flow estimation requires spatial integration, which essentially poses a grouping question: what points belong to the same motion and what do not. Classical local approache...
Xiaofeng Ren
148
Voted
ICPR
2002
IEEE
16 years 4 months ago
4-D Voting for Matching, Densification and Segmentation into Motion Layers
* We present a novel approach for grouping from motion, based on a 4-D Tensor Voting computational framework. From sparse point tokens in two frames we recover the dense velocity f...
Gérard G. Medioni, Mircea Nicolescu
173
Voted
IPMI
2003
Springer
16 years 4 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
126
Voted
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
15 years 9 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
134
Voted
RTSS
2003
IEEE
15 years 9 months ago
Multiple-Resource Periodic Scheduling Problem: how much fairness is necessary?
The Pfair algorithms are optimal for independent periodic real-time tasks executing on a multiple-resource system, however, they incur a high scheduling overhead by making schedul...
Dakai Zhu, Daniel Mossé, Rami G. Melhem