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ICASSP
2011
IEEE
14 years 4 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
152
Voted
CVPR
2012
IEEE
13 years 3 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
ICASSP
2009
IEEE
15 years 7 months ago
Joint map adaptation of feature transformation and Gaussian Mixture Model for speaker recognition
This paper extends our previous work on feature transformationbased support vector machines for speaker recognition by proposing a joint MAP adaptation of feature transformation (...
Donglai Zhu, Bin Ma, Haizhou Li
AVSS
2006
IEEE
15 years 7 months ago
On the Performance and Use of Speaker Recognition Systems for Surveillance
We model the performance of a speaker recognition system used for surveillance to prioritize a large number of candidate speakers in search of a single target speaker. It is assum...
Peter J. Barger, Sridha Sridharan
117
Voted
BMVC
2001
15 years 3 months ago
3-D Object Recognition Based on Integration of Range Image and Gray-scale Image
In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second...
Manabu Hashimoto, Kazuhiko Sumi