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» The Fast Generalized Gauss Transform
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NIPS
2008
13 years 8 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
SMI
2007
IEEE
192views Image Analysis» more  SMI 2007»
14 years 1 months ago
Multivariate Density-Based 3D Shape Descriptors
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we cons...
Ceyhun Burak Akgül, Bülent Sankur, Franc...
STOC
2006
ACM
244views Algorithms» more  STOC 2006»
14 years 7 months ago
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
We introduce a new low-distortion embedding of d 2 into O(log n) p (p = 1, 2), called the Fast-Johnson-LindenstraussTransform. The FJLT is faster than standard random projections ...
Nir Ailon, Bernard Chazelle
CORR
2007
Springer
194views Education» more  CORR 2007»
13 years 7 months ago
Algebraic Signal Processing Theory: Cooley-Tukey Type Algorithms for DCTs and DSTs
Abstract—This paper presents a systematic methodology to derive and classify fast algorithms for linear transforms. The approach is based on the algebraic signal processing theor...
Markus Püschel, José M. F. Moura
ICC
2007
IEEE
14 years 1 months ago
Fast Block Jacket Transform Based on Pauli Matrices
—Jacket matrices motivated by the center weight Hadamard matrices have play some important roles in signal processing and communication. In this paper we proposed a notation call...
Guihua Zeng, Moon Ho Lee