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BMCBI
2004
208views more  BMCBI 2004»
15 years 4 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
IFIP
2004
Springer
15 years 9 months ago
Efficient Algorithms for Handling Molecular Weighted Sequences
Abstract In this paper we introduce the Weighted Suffix Tree, an efficient data structure for computing string regularities in weighted sequences of molecular data. Molecular Wei...
Costas S. Iliopoulos, Christos Makris, Yannis Pana...
DAC
2006
ACM
16 years 5 months ago
Fast analysis of structured power grid by triangularization based structure preserving model order reduction
In this paper, a Triangularization Based Structure preserving (TBS) model order reduction is proposed to verify power integrity of on-chip structured power grid. The power grid is...
Hao Yu, Yiyu Shi, Lei He
IJCAI
2003
15 years 5 months ago
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots
The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
Dirk Hähnel, Sebastian Thrun, Wolfram Burgard
ICANN
2009
Springer
15 years 11 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...