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» Optimal dimensionality of metric space for classification
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APGV
2005
ACM
129views Visualization» more  APGV 2005»
15 years 3 months ago
A closer look at texture metrics
This paper presents some insights into perceptual metrics for texture pattern categorization. An increasing number of researchers in the field of visualization are trying to explo...
Haleh Hagh-Shenas, Victoria Interrante
50
Voted
SIAMNUM
2010
120views more  SIAMNUM 2010»
14 years 4 months ago
Sparse Spectral Approximations of High-Dimensional Problems Based on Hyperbolic Cross
Hyperbolic cross approximations by some classical orthogonal polynomials/functions in both bounded and unbounded domains are considered in this paper. Optimal error estimates in pr...
Jie Shen, Li-lian Wang
70
Voted
SODA
2004
ACM
155views Algorithms» more  SODA 2004»
14 years 11 months ago
Navigating nets: simple algorithms for proximity search
d Abstract] Robert Krauthgamer James R. Lee We present a simple deterministic data structure for maintaining a set S of points in a general metric space, while supporting proximit...
Robert Krauthgamer, James R. Lee
SIGMOD
1998
ACM
117views Database» more  SIGMOD 1998»
15 years 1 months ago
The Pyramid-Technique: Towards Breaking the Curse of Dimensionality
In this paper, we propose the Pyramid-Technique, a new indexing method for high-dimensional data spaces. The PyramidTechnique is highly adapted to range query processing using the...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
91
Voted
ICIP
2006
IEEE
15 years 11 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...