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129
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SPEECH
1998
171views more  SPEECH 1998»
15 years 3 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
175
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CORR
2008
Springer
142views Education» more  CORR 2008»
15 years 2 months ago
A Join Index for XML Data Warehouses
XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native-XML database management systems (DBMSs) currently bear l...
Hadj Mahboubi, Kamel Aouiche, Jérôme ...
147
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JMIV
2010
85views more  JMIV 2010»
15 years 2 months ago
Statistical Tests of Anisotropy for Fractional Brownian Textures. Application to Full-field Digital Mammography
In this paper, we propose a new and generic methodology for the analysis of texture anisotropy. The methodology is based on the stochastic modeling of textures by anisotropic fract...
Frédéric J. P. Richard, Hermine Bier...
BMVC
2010
15 years 1 months ago
Large-scale Dictionary Learning For Local Coordinate Coding
Local coordinate coding has recently been introduced to learning visual feature dictionary and achieved top level performance for object recognition. However, the computational co...
Bo Xie, Mingli Song, Dacheng Tao
IWPEC
2010
Springer
15 years 1 months ago
Partial Kernelization for Rank Aggregation: Theory and Experiments
RANK AGGREGATION is important in many areas ranging from web search over databases to bioinformatics. The underlying decision problem KEMENY SCORE is NP-complete even in case of fo...
Nadja Betzler, Robert Bredereck, Rolf Niedermeier