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88
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ICASSP
2009
IEEE
15 years 7 months ago
Support vector machines and Joint Factor Analysis for speaker verification
This article presents several techniques to combine between Support vector machines (SVM) and Joint Factor Analysis (JFA) model for speaker verification. In this combination, the...
Najim Dehak, Patrick Kenny, Réda Dehak, Ond...
123
Voted
AAAI
2007
15 years 3 months ago
AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks
The long-term goal of Project Halo is to build an application called Digital Aristotle that can answer questions on a variety of science topics and provide user and domain appropr...
Ken Barker, Vinay K. Chaudhri, Shaw Yi Chaw, Peter...
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 3 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
128
Voted
COLT
1995
Springer
15 years 4 months ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...
130
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Video thumbnail extraction using video time density function and independent component analysis mixture model
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...
Junfeng Jiang, Xiao-Ping Zhang