472 search results - page 30 / 95 » On the Entropy of a Hidden Markov Process |
MICCAI
2009
Springer
16 years 7 days ago
2009
Springer
We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
EMMCVPR
2009
Springer
15 years 5 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
103
Voted
GCB
2000
Springer
15 years 2 months ago
2000
Springer
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
ACL
2006
15 years 15 days ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...