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NIPS
2004
13 years 9 months ago
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, Jo...
EMMCVPR
1999
Springer
14 years 5 days ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
DCC
2000
IEEE
14 years 9 days ago
Multiple Description Lattice Vector Quantization: Variations and Extensions
Multiple description lattice vector quantization (MDLVQ) is a technique for two-channel multiple description coding. We observe that MDLVQ, in the form introduced by Servetto, Vai...
Jonathan A. Kelner, Vivek K. Goyal, Jelena Kovacev...
ICPR
2008
IEEE
14 years 2 months ago
Numerical analysis of Mahalanobis metric in vector space
The Mahalanobis metric was proposed by extending the Mahalanobis distance to provide a probabilistic distance for a non-normal distribution. The Mahalanobis metric equation is a n...
Joken Son, Naoya Inoue, Yukihiko Yamashita
ENTCS
2002
72views more  ENTCS 2002»
13 years 7 months ago
A Symbolic Out-of-Core Solution Method for Markov Models
Despite considerable effort, the state-space explosion problem remains an issue in the analysis of Markov models. Given structure, symbolic representations can result in very comp...
Marta Z. Kwiatkowska, Rashid Mehmood, Gethin Norma...