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» Diffeomorphic Dimensionality Reduction
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ICML
2009
IEEE
16 years 20 days ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICML
2006
IEEE
16 years 20 days ago
Local distance preservation in the GP-LVM through back constraints
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Joaquin Quiñonero Candela, Neil D. Lawrence
ICML
2005
IEEE
16 years 20 days ago
Multimodal oriented discriminant analysis
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
Fernando De la Torre, Takeo Kanade
CIRA
2007
IEEE
151views Robotics» more  CIRA 2007»
15 years 6 months ago
Image Clustering Using Visual and Text Keywords
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
Rajeev Agrawal, Changhua Wu, William I. Grosky, Fa...
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
15 years 6 months ago
Adaptive Play Q-Learning with Initial Heuristic Approximation
Abstract— The problem of an effective coordination of multiple autonomous robots is one of the most important tasks of the modern robotics. In turn, it is well known that the lea...
Andriy Burkov, Brahim Chaib-draa