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NAACL
2007
15 years 7 months ago
Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sh...
RSS
2007
151views Robotics» more  RSS 2007»
15 years 7 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard
RECOMB
2001
Springer
16 years 6 months ago
A new approach to sequence comparison: normalized sequence alignment
The Smith-Waterman algorithm for local sequence alignment is one of the most important techniques in computational molecular biology. This ingenious dynamic programming approach w...
Abdullah N. Arslan, Ömer Egecioglu, Pavel A. ...
PRL
2008
85views more  PRL 2008»
15 years 6 months ago
Reliability estimation of a statistical classifier
Pattern classification techniques derived from statistical principles have been widely studied and have proven powerful in addressing practical classification problems. In real-wo...
Pandu Ranga Rao Devarakota, Bruno Mirbach, Bjö...
HYBRID
2009
Springer
16 years 1 months ago
Event-Triggering in Distributed Networked Systems with Data Dropouts and Delays
This paper studies distributed networked systems with data dropouts and transmission delays. We propose a decentralized eventtriggering scheme, where a subsystem broadcasts its sta...
Xiaofeng Wang, Michael D. Lemmon