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» Hilbert Space Embeddings and Metrics on Probability Measures
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NIPS
1997
13 years 8 months ago
Mapping a Manifold of Perceptual Observations
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Joshua B. Tenenbaum
PRL
2010
130views more  PRL 2010»
13 years 5 months ago
Automatic configuration of spectral dimensionality reduction methods
In this paper, our main contribution is a framework for the automatic configuration of any spectral dimensionality reduction methods. This is achieved, first, by introducing the m...
Michal Lewandowski, Dimitrios Makris, Jean-Christo...
ICIP
2005
IEEE
14 years 9 months ago
Expression-invariant face recognition via spherical embedding
Recently, it was proven empirically that facial expressions can be modelled as isometries, that is, geodesic distances on the facial surface were shown to be significantly less se...
Alexander M. Bronstein, Michael M. Bronstein, Ron ...
RSP
1998
IEEE
188views Control Systems» more  RSP 1998»
13 years 11 months ago
Performance and Interface Buffer Size Driven Behavioral Partitioning for Embedded Systems
One of the major differences in partitioning for codesign is in the way the communication cost is evaluated. Generally the size of the edge cut-set is used. When communication bet...
T.-C. Lin, Sadiq M. Sait, Walling R. Cyre
CORR
2002
Springer
95views Education» more  CORR 2002»
13 years 7 months ago
Qualitative Visualization of Distance Information
Different types of two- and three-dimensional representations of a finite metric space are studied that focus on the accurate representation of the linear order among the distance...
Jobst Heitzig