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JMLR
2008
169views more  JMLR 2008»
14 years 9 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
15 years 10 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
CANDC
2000
ACM
14 years 9 months ago
Step by Step Filter Based Program for Calculations of Highly Informative Derivative Curves
We have developed a microcomputer program, based on a recently described approach called step by step filter (SBSF), for calculation of derivative curves directly from spectra rec...
Vesselin Petrov, Liudmil Antonov, Hitoshi Ehara, N...
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CORR
2011
Springer
160views Education» more  CORR 2011»
14 years 1 months ago
Compositional Model Repositories via Dynamic Constraint Satisfaction with Order-of-Magnitude Preferences
The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mecha...
Jeroen Keppens, Qiang Shen
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 10 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...