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» Computing spectral sequences
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138
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ECML
2004
Springer
15 years 9 months ago
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
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...
Marco Saerens, François Fouss, Luh Yen, Pie...
CVPR
2008
IEEE
16 years 5 months ago
Spectral methods for semi-supervised manifold learning
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Zhenyue Zhang, Hongyuan Zha, Min Zhang
105
Voted
ICPR
2008
IEEE
15 years 10 months ago
Illuminant dependence of PCA, NMF and NTF in spectral color imaging
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...
Alexey Andriyashin, Jussi Parkkinen, Timo Jaaskela...
156
Voted
ICPR
2010
IEEE
15 years 25 days ago
Cross-Spectral Face Verification in the Short Wave Infrared (SWIR) Band
The problem of face verification across the short wave infrared spectrum (SWIR) is studied in order to illustrate the advantages and limitations of SWIR face verification. The cont...
Thirimachos Bourlai, Nathan D. Kalka, Arun Ross, B...
134
Voted
ICPR
2002
IEEE
16 years 4 months ago
Usefulness of Boundary Sequences in Computing Shape Features for Arbitrary Shaped Regions
A boundary sequence is a good representation of arbitrary shaped regions, but not directly used in computing shape features such as area, centroid, orientation, and so forth. In t...
Seongok Kim, Sungyoung Kim, Jongmin Kim, Minhwan K...