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» Generalized Discriminant Analysis Using a Kernel Approach
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SSPR
2010
Springer
13 years 7 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
QEST
2010
IEEE
13 years 6 months ago
Transient Analysis of Generalised Semi-Markov Processes Using Transient Stochastic State Classes
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
András Horváth, Lorenzo Ridi, Enrico...
RECOMB
2004
Springer
14 years 9 months ago
A class of edit kernels for SVMs to predict translation initiation sites in eukaryotic mRNAs
The prediction of translation initiation sites (TISs) in eukaryotic mRNAs has been a challenging problem in computational molecular biology. In this paper, we present a new algori...
Haifeng Li, Tao Jiang
ICASSP
2008
IEEE
14 years 3 months ago
Reproducing kernel Hilbert spaces for spike train analysis
This paper introduces a generalized cross-correlation (GCC) measure for spike train analysis derived from reproducing kernel Hilbert spaces (RKHS) theory. An estimator for GCC is ...
António R. C. Paiva, Il Park, Jose C. Princ...
ISMIR
2004
Springer
108views Music» more  ISMIR 2004»
14 years 2 months ago
Improving Melody Classification by Discriminant Feature Extraction and Fusion
We propose a general approach to discriminant feature extraction and fusion, built on an optimal feature transformation for discriminant analysis [6]. Our experiments indicate tha...
Ming Li, Ronan Sleep