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» Learning Generative Models via Discriminative Approaches
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EMNLP
2008
13 years 9 months ago
Latent-Variable Modeling of String Transductions with Finite-State Methods
String-to-string transduction is a central problem in computational linguistics and natural language processing. It occurs in tasks as diverse as name transliteration, spelling co...
Markus Dreyer, Jason Smith, Jason Eisner
GRC
2008
IEEE
13 years 7 months ago
A Computational Model on Harmonizing Chinese Folksong with Piano Accompaniment
Research on auto-harmonizing a melody (e.g. Chinese folksong) with piano accompaniment is trying to build up a computer system which generates a 3voice music including piano left-...
Yin Feng, Chang-Le Zhou
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
14 years 2 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
AAAI
2000
13 years 9 months ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
AVBPA
2005
Springer
255views Biometrics» more  AVBPA 2005»
14 years 1 months ago
Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
Abstract. In this paper we introduce a novel approach for learning view-invariant gait representation that does not require synthesizing particular views or any camera calibration....
Chan-Su Lee, Ahmed M. Elgammal