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» On the Dimensionality of Face Space
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WACV
2002
IEEE
15 years 2 months ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...
ICIP
2006
IEEE
15 years 11 months ago
Wavelet Principal Component Analysis and its Application to Hyperspectral Images
We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
Maya R. Gupta, Nathaniel P. Jacobson
IWCIA
2004
Springer
15 years 3 months ago
Convex Hulls in a 3-Dimensional Space
This paper describes a new algorithm of computing the convex hull of a 3-dimensional object. The convex hull generated by this algorithm stract polyhedron being described by a new ...
Vladimir Kovalevsky, Henrik Schulz
87
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MICAI
2005
Springer
15 years 3 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
DEXAW
1999
IEEE
168views Database» more  DEXAW 1999»
15 years 2 months ago
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...
Paolo Ciaccia, Marco Patella