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ICASSP
2010
IEEE
13 years 11 months ago
A novel estimation of feature-space MLLR for full-covariance models
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
ICASSP
2011
IEEE
13 years 2 months ago
Classifier subset selection and fusion for speaker verification
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification deci...
Filip Sedlak, Tomi Kinnunen, Ville Hautamäki,...
ICASSP
2011
IEEE
13 years 2 months ago
Compressive sensing meets game theory
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...
Sina Jafarpour, Robert E. Schapire, Volkan Cevher
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 11 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
AUTOMATICA
2010
110views more  AUTOMATICA 2010»
13 years 11 months ago
Moving-horizon partition-based state estimation of large-scale systems
This paper presents three novel Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposed into coupled subsystems with non-over...
Marcello Farina, Giancarlo Ferrari-Trecate, Riccar...