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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 420050.0, MPI für biologische Kybernetik / Biologische Kybernetik
Colored Maximum Variance Unfolding
Authors:Song, L.; Smola, A.J.; Borgwardt, K.; Gretton, A.
Editors:Platt, J. C.; Koller, D.; Singer, Y.; Roweis, S.
Date of Publication (YYYY-MM-DD):2008-09
Title of Proceedings:Advances in Neural Information Processing Systems 20: Proceedings of the 2007 Conference
Start Page:1385
End Page:1392
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Maximum variance unfolding (MVU) is an effective heuristic for dimensionality
reduction. It produces a low-dimensional representation of the data by maximizing
the variance of their embeddings while preserving the local distances of the
original data. We show that MVU also optimizes a statistical dependence measure
which aims to retain the identity of individual observations under the distancepreserving
constraints. This general view allows us to design “colored” variants
of MVU, which produce low-dimensional representations for a given task, e.g.
subject to class labels or other side information.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI f�r biologische Kybernetik/Empirical Inference (Dept. Sch�lkopf)
Identifiers:LOCALID:4929
URL:http://books.nips.cc/papers/files/nips20/NIPS2007_...
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