150 search results - page 19 / 30 » A Geometric Representation of Protein Sequences |
BMCBI
2004
14 years 9 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
ISMB
1994
14 years 11 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
ISVC
2009
Springer
15 years 4 months ago
2009
Springer
Modeling, characterization and analysis of biological shapes and forms are important in many computational biology studies. Shape representation challenges span the spectrum from s...
71
Voted
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
We describe an algorithmfor reconstructing a scene containing multiple moving objects. Given a monocular image sequence, we recover the scene structure, the trajectories of the mo...
TOG
2002
14 years 9 months ago
2002
Geometric transformations are most commonly represented as square matrices in computer graphics. Following simple geometric arguments we derive a natural and geometrically meaning...