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» Learning Models for Object Recognition
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129
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KES
2007
Springer
15 years 3 months ago
Adapting robot kinematics for human-arm motion recognition
Abstract. This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to...
Chee Seng Chan, Honghai Liu, David Brown
CVPR
2005
IEEE
16 years 5 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard
128
Voted
ICML
2009
IEEE
16 years 4 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
161
Voted
CVIU
2011
14 years 7 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla
162
Voted
ICMCS
2000
IEEE
221views Multimedia» more  ICMCS 2000»
15 years 8 months ago
Color Based Retrieval and Recognition
In content based retrieval, color indexing is one of the most prevalent retrieval methods. Two key problems in color indexing are (1) determination of the color space and (2) fin...
Nicu Sebe, Michael S. Lew