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» Spectral Algorithms for Supervised Learning
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PR
2006
164views more  PR 2006»
14 years 9 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
ICML
2000
IEEE
15 years 10 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic
96
Voted
ICML
2006
IEEE
15 years 10 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
78
Voted
WWW
2007
ACM
15 years 10 months ago
Generative models for name disambiguation
Name ambiguity is a special case of identity uncertainty where one person can be referenced by multiple name variations in different situations or even share the same name with ot...
Yang Song, Jian Huang 0002, Isaac G. Councill, Jia...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolution of adult male oral tract shapes for close and open vowels
In this paper, we describe an experiment to evolve oral tract (mouth) shapes for a set of vowels for two adult males. Target vowels were recorded in an acoustically anechoic room ...
David M. Howard, Andy M. Tyrrell, Crispin H. V. Co...