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CVPR
2001
IEEE
14 years 9 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo
ISVC
2007
Springer
14 years 1 months ago
Nonuniform Segment-Based Compression of Motion Capture Data
This paper presents a lossy compression method for motion capture data. Each degree of freedom of a motion clip is smoothed by an anisotropic diffusion process and then divided int...
Yi Lin, Michael D. McCool
CSREAPSC
2006
13 years 9 months ago
An Inexact Matching Method Based on Ontology and Semantic Distance for Resource Discovery and Interaction
- To overcome shortcomings of Exact Matching Method (EMM) and Substitute Description Method (SDM), an Inexact Matching Method Based on Ontology and Semantic Distance (OSDIMM) is in...
Tang Shancheng, Qian Yi, Wang Wei
CORR
2010
Springer
119views Education» more  CORR 2010»
13 years 7 months ago
Ergodic Secret Alignment
In this paper, we provide a new achievable ergodic secrecy rate region for the multiple access wiretap channel in fading. Our achievable scheme is based on repeating each symbol at...
Raef Bassily, Sennur Ulukus
MCSS
2007
Springer
13 years 7 months ago
Minimal symmetric Darlington synthesis
We consider the symmetric Darlington synthesis of a p × p rational symmetric Schur function S with the constraint that the extension is of size 2p×2p. Under the assumption that S...
Laurent Baratchart, P. Enqvist, A. Gombani, M. Oli...