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» Learning a Classification Model for Segmentation
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AIR
2004
113views more  AIR 2004»
15 years 4 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
145
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ICCV
2003
IEEE
16 years 6 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
OZCHI
2006
ACM
15 years 10 months ago
Applying reach in direct manipulation user interfaces
The HCI community currently faces the problem of making tangible user interfaces actively responsive to their user’s current physical context. This paper explores the context of...
Aaron Toney, Bruce H. Thomas
TIP
2008
344views more  TIP 2008»
15 years 4 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
CVPR
2004
IEEE
16 years 6 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs