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AAAI
1998
15 years 8 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
ISMB
1997
15 years 8 months ago
Identifying Chimerism in Proteins Using Hidden Markov Models of Codon Usage
Protein chimerism is a phenomenon involving the combination of multiple ancestral sequences into a single, multi-domain protein through evolution. We propose a novel method for de...
Lawrence Hunter, Barry Zeeberg
GISCIENCE
2008
Springer
140views GIS» more  GISCIENCE 2008»
15 years 8 months ago
Modeling Herds and Their Evolvements from Trajectory Data
A trajectory is the time-stamped path of a moving entity through space. Given a set of trajectories, this paper proposes new conceptual definitions for a spatio-temporal pattern n...
Yan Huang, Cai Chen, Pinliang Dong
ICML
2010
IEEE
15 years 8 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
ICASSP
2010
IEEE
15 years 7 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang