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CVPR
2007
IEEE
16 years 8 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
ICMCS
2007
IEEE
214views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Exploring Discriminative Learning for Text-Independent Speaker Recognition
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, T...
ECML
2006
Springer
15 years 10 months ago
Active Learning with Irrelevant Examples
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
DAGM
2004
Springer
16 years 4 days ago
Learning Depth from Stereo
We compare two approaches to the problem of estimating the depth of a point in space from observing its image position in two
Fabian H. Sinz, Joaquin Quiñonero Candela, ...
STAIRS
2008
175views Education» more  STAIRS 2008»
15 years 8 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi