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88
Voted
IDEAL
2004
Springer
15 years 8 months ago
2004
Springer
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...
115
Voted
PRL
2008
15 years 3 months ago
2008
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
123
Voted
SPEECH
2008
15 years 3 months ago
2008
This paper presents an overview of methods that can be used to collect and analyse data on user responses to spoken dialogue system components intended to increase human-likeness,...
129
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ECCV
2000
Springer
16 years 5 months ago
2000
Springer
In this paper, we study general questions about the solvability of the Kruppa equations and show that, in several special cases, the Kruppa equations can be renormalized and becom...
145
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...