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» Solving Sparse Linear Constraints
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CVPR
2012
IEEE
13 years 1 months ago
Steerable part models
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...
Hamed Pirsiavash, Deva Ramanan
100
Voted
CVPR
1997
IEEE
16 years 1 months ago
Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields
This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solvin...
Antonis A. Argyros, Stelios C. Orphanoudakis
105
Voted
ICML
2009
IEEE
15 years 12 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
ICASSP
2008
IEEE
15 years 5 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
87
Voted
AMDO
2004
Springer
15 years 4 months ago
Recognition and Tracking of the Members of a Moving Human Body
We present a method to solve the human silhouette tracking problem using 18 major human points. We used: a simple 2D model for the human silhouette, a linear prediction technique f...
Costas Panagiotakis, Georgios Tziritas