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AIIA
2009
Springer
15 years 8 months ago
Local Kernel for Brains Classification in Schizophrenia
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
Umberto Castellani, E. Rossato, Vittorio Murino, M...
172
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FLAIRS
2004
15 years 6 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
TOG
2008
102views more  TOG 2008»
15 years 4 months ago
Real-time data driven deformation using kernel canonical correlation analysis
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can ...
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 7 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
ITICSE
2006
ACM
15 years 10 months ago
Student activity in seminars: designing multi-functional assessment events
In this paper, we describe assessment in seminars where high student activity is encouraged. The aim of our work has been to design assessment events that result in deep learning ...
Karin Axelsson, Ulf Melin, Tommy Wedlund