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» Detecting Occlusion for Hidden Markov Modeled Shapes
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ICIP
2000
IEEE
16 years 7 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
ICDAR
2009
IEEE
15 years 3 months ago
Handwritten Word Image Retrieval with Synthesized Typed Queries
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
José A. Rodríguez-Serrano, Florent P...
JCB
1998
92views more  JCB 1998»
15 years 5 months ago
Homology Detection via Family Pairwise Search
The function of an unknown biological sequence can often be accurately inferred by identifying sequences homologous to the original sequence. Given a query set of known homologs, ...
William Noble Grundy
NAR
2006
119views more  NAR 2006»
15 years 6 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...
IPPS
2007
IEEE
16 years 14 days ago
High Performance Database Searching with HMMer on FPGAs
1 Profile Hidden Markov Models (profile HMMs) are used as a popular bioinformatics tool for sensitive database searching, e.g. a set of not annotated protein sequences is compared...
Timothy F. Oliver, Leow Yuan Yeow, Bertil Schmidt