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COMBINATORICS
2002
60views more  COMBINATORICS 2002»
15 years 5 months ago
Parking Functions, Stack-Sortable Permutations, and Spaces of Paths in the Johnson Graph
We prove that the space of possible final configurations for a parking problem is parameterized by the vertices of a regular Bruhat graph associated to a 231-avoiding permutation,...
Catalin Zara
129
Voted
PAMI
2008
135views more  PAMI 2008»
15 years 5 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
FOCM
2006
97views more  FOCM 2006»
15 years 5 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 12 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich
AMFG
2005
IEEE
152views Biometrics» more  AMFG 2005»
15 years 11 months ago
Regularization of LDA for Face Recognition: A Post-processing Approach
When applied to high-dimensional classification task such as face recognition, linear discriminant analysis (LDA) can extract two kinds of discriminant vectors, those in the null s...
Wangmeng Zuo, Kuanquan Wang, David Zhang, Jian Yan...