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» On the Consistency of Ranking Algorithms
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DMIN
2007
91views Data Mining» more  DMIN 2007»
13 years 9 months ago
Instance Ranking using Ensemble Spread
- This paper investigates a technique for predicting ensemble uncertainty originally proposed in the weather forecasting domain. The overall purpose is to find out if the technique...
Rikard König, Ulf Johansson, Lars Niklasson
SPEECH
1998
171views more  SPEECH 1998»
13 years 7 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 5 months ago
The Stability of Low-Rank Matrix Reconstruction: a Constrained Singular Value View
The stability of low-rank matrix reconstruction is investigated in this paper. The -constrained minimal singular value ( -CMSV) of the measurement operator is shown to determine t...
Gongguo Tang, Arye Nehorai
COLING
2010
13 years 3 months ago
FactRank: Random Walks on a Web of Facts
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
Alpa Jain, Patrick Pantel
TASLP
2010
159views more  TASLP 2010»
13 years 2 months ago
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...