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» Maximum entropy models for speech confidence estimation
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VLSISP
1998
111views more  VLSISP 1998»
13 years 5 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
BMCBI
2005
122views more  BMCBI 2005»
13 years 5 months ago
Bayesian coestimation of phylogeny and sequence alignment
Background: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this p...
Gerton Lunter, István Miklós, Alexei...
ISMIR
2004
Springer
236views Music» more  ISMIR 2004»
13 years 10 months ago
Rhythm and Tempo Recognition of Music Performance from a Probabilistic Approach
This paper concerns both rhythm recognition and tempo analysis of expressive music performance based on a probabilistic approach. In rhythm recognition, the modern continuous spee...
Haruto Takeda, Takuya Nishimoto, Shigeki Sagayama
BMCBI
2010
135views more  BMCBI 2010»
13 years 5 months ago
A classification approach for genotyping viral sequences based on multidimensional scaling and linear discriminant analysis
Background: Accurate classification into genotypes is critical in understanding evolution of divergent viruses. Here we report a new approach, MuLDAS, which classifies a query seq...
Ji Woong Kim, Yongju Ahn, Kichan Lee, Sung-Hee Par...
ECML
2001
Springer
13 years 9 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...