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PR
2007
88views more  PR 2007»
14 years 9 months ago
Robust kernel Isomap
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
Heeyoul Choi, Seungjin Choi
JMLR
2010
155views more  JMLR 2010»
14 years 4 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
CRV
2005
IEEE
132views Robotics» more  CRV 2005»
15 years 3 months ago
Face Recognition with Weighted Locally Linear Embedding
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos
RTA
2009
Springer
15 years 4 months ago
An Explicit Framework for Interaction Nets
Abstract. Interaction nets are a graphical formalism inspired by Linear Logic proof-nets often used for studying higher order rewriting e.g. β-reduction. Traditional presentations...
Marc de Falco
FOCS
2000
IEEE
15 years 2 months ago
Stable Distributions, Pseudorandom Generators, Embeddings and Data Stream Computation
In this article, we show several results obtained by combining the use of stable distributions with pseudorandom generators for bounded space. In particular: —We show that, for a...
Piotr Indyk