847 search results - page 11 / 170 » HITS is Principal Components Analysis |
110
Voted
ECML
2004
Springer
15 years 5 months ago
2004
Springer
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
98
Voted
ICPR
2000
IEEE
16 years 1 months ago
2000
IEEE
This paper describes a new method to recover the sign of the local Gaussian curvature at each point on the visible surface of a 3-D object. Multiple (p > 3) shaded images are a...
178
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
110
click to vote
CORR
2007
Springer
15 years 10 days ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
102
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ISQED
2000
IEEE
15 years 4 months ago
2000
IEEE
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...