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» On the Optimality of the Dimensionality Reduction Method
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INFOCOM
2010
IEEE
15 years 4 months ago
Optimal Solutions for Single Fault Localization in Two Dimensional Lattice Networks
Abstract--Achieving fast, precise, and scalable fault localization has long been a highly desired feature in all-optical mesh networks. Monitoring tree (m-tree) is an interesting m...
János Tapolcai, Lajos Rónyai, Pin-Ha...
ICIC
2009
Springer
15 years 10 months ago
Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...
Shanwen Zhang, Kwok-Wing Chau
JSCIC
2008
55views more  JSCIC 2008»
15 years 6 months ago
Modified Optimal Prediction and its Application to a Particle-Method Problem
Abstract The paper is concerned with system reduction by statistical methods and, in particular, by the optimal prediction method introduced in (Chorin, A.J., Hald, O.H., Kupferman...
Alina Chertock, David Gottlieb, Alex Solomonoff
BROADNETS
2007
IEEE
16 years 14 days ago
Optimizing dimensionality and accelerating landmark positioning for coordinates based RTT predictions
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
Dragan Milic, Torsten Braun
NIPS
1997
15 years 7 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis