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» A Practical Method for the Sparse Resultant
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UAI
2008
15 years 6 months ago
Modelling local and global phenomena with sparse Gaussian processes
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
Jarno Vanhatalo, Aki Vehtari
143
Voted
CORR
2004
Springer
152views Education» more  CORR 2004»
15 years 4 months ago
Non-negative matrix factorization with sparseness constraints
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
Patrik O. Hoyer
SOMET
2007
15 years 5 months ago
Software Engineering Practices: An Auditor's Perspective
This report details part of the results of five software audits that were done to evaluate various aspects of the quality in five very big software projects. One result of our work...
Krzysztof Sacha
ICASSP
2011
IEEE
14 years 8 months ago
Soft frame margin estimation of Gaussian Mixture Models for speaker recognition with sparse training data
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
Yan Yin, Qi Li
FGR
2008
IEEE
254views Biometrics» more  FGR 2008»
15 years 5 months ago
Design sparse features for age estimation using hierarchical face model
A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for fa...
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Sha...