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NIPS
2004
15 years 5 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...
170
Voted
EMMCVPR
1999
Springer
15 years 8 months 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
15 years 8 months 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
15 years 10 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»
15 years 3 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...