Sciweavers

1084 search results - page 47 / 217
» Hidden Markov Models with Multiple Observation Processes
Sort
View
DAGM
2006
Springer
15 years 3 months ago
Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions
Sequencing of peptides by tandem mass spectrometry has matured to the key technology for proteomics. Noise in the measurement process strongly favors statistical models like NovoHM...
Hansruedi Peter, Bernd Fischer, Joachim M. Buhmann
ICMI
2003
Springer
99views Biometrics» more  ICMI 2003»
15 years 5 months ago
Selective perception policies for guiding sensing and computation in multimodal systems: a comparative analysis
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Nuria Oliver, Eric Horvitz
BMCBI
2010
99views more  BMCBI 2010»
14 years 12 months ago
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
Background: It has been apparent in the last few years that small non coding RNAs (ncRNA) play a very significant role in biological regulation. Among these microRNAs (miRNAs), 22...
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, As...
ICIP
2005
IEEE
16 years 1 months ago
Unsupervised multiband image segmentation using hidden Markov quadtree and copulas
This paper deals with Hidden Markov Quadtree model for multiband image segmentation. This task, requiring multivariate probability density computations for the data likelihood ter...
Farid Flitti, Christophe Collet, Annabele Joannic-...
CORR
2012
Springer
210views Education» more  CORR 2012»
13 years 7 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh