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TITB
2008
102views more  TITB 2008»
14 years 11 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
ICCV
2007
IEEE
15 years 6 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
AAAI
2008
15 years 2 months ago
Dimension Amnesic Pyramid Match Kernel
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
Yi Liu, Xulei Wang, Hongbin Zha
IPM
2007
86views more  IPM 2007»
14 years 11 months ago
Document concept lattice for text understanding and summarization
We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that reserved after summarization. Here, a concept refers to an abst...
Shiren Ye, Tat-Seng Chua, Min-Yen Kan, Long Qiu
CVPR
2008
IEEE
16 years 1 months ago
Action recognition by learning mid-level motion features
This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches...
Alireza Fathi, Greg Mori