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» Learning to Segment
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92
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ICML
2006
IEEE
16 years 1 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
VIP
2003
15 years 2 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
HIP
2005
Springer
172views Cryptology» more  HIP 2005»
15 years 6 months ago
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)
Human interaction proofs (HIPs) have become common place on the internet due to their effectiveness in deterring automated abuse of online services intended for humans. However, th...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
95
Voted
MICCAI
2009
Springer
16 years 1 months ago
Discriminative, Semantic Segmentation of Brain Tissue in MR Images
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
Zhao Yi, Antonio Criminisi, Jamie Shotton, Andr...
109
Voted
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
15 years 7 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...