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BICOB
2009
Springer
14 years 29 days ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
ICMCS
2000
IEEE
131views Multimedia» more  ICMCS 2000»
14 years 16 days ago
Joint Video Scene Segmentation and Classification based on Hidden Markov Model
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme...
Jincheng Huang, Zhu Liu, Yao Wang
ICONIP
2008
13 years 10 months ago
Experimental Study of Ergodic Learning Curve in Hidden Markov Models
A number of learning machines used in information science are not regular, but rather singular, because they are non-identifiable and their Fisher information matrices are singula...
Masashi Matsumoto, Sumio Watanabe
NIPS
2004
13 years 10 months ago
A Hidden Markov Model for de Novo Peptide Sequencing
De novo Sequencing of peptides is a challenging task in proteome research. While there exist reliable DNA-sequencing methods, the highthroughput de novo sequencing of proteins by ...
Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jo...
ISMB
1993
13 years 10 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...