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IFIP
2004
Springer
15 years 3 months ago
Imperfectness of Data for STS-Based Physical Mapping
In the STS-based mapping, we are requested to obtain the correct order of probes in a DNA sequence from a given set of fragments or equivalently a hybridization matrix A. It is wel...
Hiro Ito, Kazuo Iwama, Takeyuki Tamura
PAA
2000
14 years 10 months ago
On the Initialisation of Sammon's Nonlinear Mapping
: The initialisation of a neural network implementation of Sammon's mapping, either randomly or based on the principal components (PCs) of the sample covariance matrix, is exp...
Boaz Lerner, Hugo Guterman, Mayer Aladjem, Its'hak...
95
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ICML
2004
IEEE
15 years 3 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
IROS
2006
IEEE
108views Robotics» more  IROS 2006»
15 years 4 months ago
Improving the Consistency of Relative Map
Abstract— In this paper, the Independence Relative Map algorithm is presented. The algorithm aims to achieve the independence of relative map states. We show that using dependent...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
ICML
2008
IEEE
15 years 11 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih