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» Ancestral sequence alignment under optimal conditions
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ICML
2007
IEEE
16 years 17 days ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
TWC
2010
14 years 6 months ago
Optimized Training Sequences for Spatially Correlated MIMO-OFDM
In this paper, the training sequence design for multiple-input multiple-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) systems under the minimum mean square error (...
Hoang Duong Tuan, Ha Hoang Kha, Ha H. Nguyen, Viet...
AIRS
2004
Springer
15 years 5 months ago
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features
Abstract. Automatic transliteration of foreign names is basically regarded as a diminutive clone of the machine translation (MT) problem. It thus follows IBM’s conventional MT mo...
Wei Gao, Kam-Fai Wong, Wai Lam
BMCBI
2011
14 years 3 months ago
Smith-Waterman Peak Alignment for Comprehensive Two-dimensional Gas Chromatography Mass Spectrometry
Background: Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GCMS) is a powerful technique which has gained increasing attention over the las...
Seongho Kim, Imhoi Koo, Aiqin Fang, Xiang Zhang
CVPR
2006
IEEE
16 years 1 months ago
Hidden Conditional Random Fields for Gesture Recognition
We introduce a discriminative hidden-state approach for the recognition of human gestures. Gesture sequences often have a complex underlying structure, and models that can incorpo...
Sy Bor Wang, Ariadna Quattoni, Louis-Philippe More...