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ICML
2000
IEEE
14 years 10 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Normalized Double-Talk Detection Based on Microphone and AEC Error Cross-Correlation
In this paper, we present two different double-talk detection schemes for Acoustic Echo Cancellation (AEC). First, we present a novel normalized detection statistic based on the c...
Asif Iqbal Mohammad, Jack W. Stokes, Steven L. Gra...
CORR
2010
Springer
186views Education» more  CORR 2010»
13 years 10 months ago
Channel Estimation for Opportunistic Spectrum Access: Uniform and Random Sensing
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
Quanquan Liang, Mingyan Liu
NC
2006
132views Neural Networks» more  NC 2006»
13 years 10 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
INFSOF
2010
146views more  INFSOF 2010»
13 years 7 months ago
Links between the personalities, views and attitudes of software engineers
Successful software development and management depends not only on the technologies, methods and processes employed but also on the judgments and decisions of the humans involved....
Robert Feldt, Lefteris Angelis, Richard Torkar, Ma...