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145
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MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 9 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
128
Voted
IWANN
2001
Springer
15 years 8 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
104
Voted
IPL
2007
99views more  IPL 2007»
15 years 3 months ago
Approximation algorithms for minimizing segments in radiation therapy
Intensity modulated radiation therapy (IMRT) is one of the most effective modalities for modern cancer treatment. The key to successful IMRT treatment hinges on the delivery of a...
Shuang Luan, Jared Saia, Maxwell Young
CVPR
2005
IEEE
16 years 5 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
113
Voted
AAMAS
2007
Springer
15 years 3 months ago
Modeling conversation policies using permissions and obligations
We describe our preliminary work in modeling conversation specifications and policies as positive/negative permissions and obligations. Our model is generic as it is independent o...
Lalana Kagal, Tim Finin