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PR
2011
13 years 5 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
DAGM
2011
Springer
12 years 10 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
SEMCO
2009
IEEE
14 years 4 months ago
LexPar: A Freely Available English Paraphrase Lexicon Automatically Extracted from FrameNet
—This is a paper about a new resource, namely an English paraphrase dictionary extracted from the FrameNet lexicon and its example data base. I. THE LEXPAR PARAPHRASE DICTIONARY ...
Bob Coyne, Owen Rambow
SIGMOD
2007
ACM
183views Database» more  SIGMOD 2007»
14 years 10 months ago
Leveraging aggregate constraints for deduplication
We show that aggregate constraints (as opposed to pairwise constraints) that often arise when integrating multiple sources of data, can be leveraged to enhance the quality of dedu...
Surajit Chaudhuri, Anish Das Sarma, Venkatesh Gant...
PERCOM
2006
ACM
14 years 9 months ago
CAPS: Energy-Efficient Processing of Continuous Aggregate Queries in Sensor Networks
In this paper, we design and evaluate an energy efficient data retrieval architecture for continuous aggregate queries in wireless sensor networks. We show how the modification of...
Wen Hu, Archan Misra, Rajeev Shorey