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NIPS
2003
15 years 5 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
NAR
2006
119views more  NAR 2006»
15 years 4 months ago
HHsenser: exhaustive transitive profile search using HMM-HMM comparison
HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein ...
Johannes Söding, Michael Remmert, Andreas Bie...
NAR
2006
74views more  NAR 2006»
15 years 4 months ago
HHrep: de novo protein repeat detection and the origin of TIM barrels
HHrep is a web server for the de novo identification of repeats in protein sequences, which is based on the pairwise comparison of profile hidden Markov models (HMMs). Its main st...
Johannes Söding, Michael Remmert, Andreas Bie...
PR
2000
189views more  PR 2000»
15 years 4 months ago
LAFTER: a real-time face and lips tracker with facial expression recognition
This paper describes an active-camera real-time system for tracking, shape description, and classi"cation of the human face and mouth expressions using only a PC or equivalen...
Nuria Oliver, Alex Pentland, François B&eac...
NAACL
2010
15 years 2 months ago
Investigations into the Crandem Approach to Word Recognition
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...