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BMCBI
2004
208views more  BMCBI 2004»
15 years 6 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
JUCS
2010
154views more  JUCS 2010»
15 years 5 months ago
SimCon: A Tool to Support Rapid Evaluation of Smart Building Application Design using Context Simulation and Virtual Reality
: The promise of smart buildings (SBs) is a safer more productive environment for users and a more operationally efficient building for owners. The automation of building function ...
Kris McGlinn, Eleanor O'Neill, Alan Gibney, Declan...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 3 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
CD
2005
Springer
16 years 3 days ago
Modelling Deployment Using Feature Descriptions and State Models for Component-Based Software Product Families
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
Slinger Jansen, Sjaak Brinkkemper
TASLP
2008
154views more  TASLP 2008»
15 years 6 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...