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» Discrete Fourier Transform Computation Using Neural Networks
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109
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IPPS
2002
IEEE
15 years 4 months ago
A SIMD Vectorizing Compiler for Digital Signal Processing Algorithms
Short vector SIMD instructions on recent microprocessors, such as SSE on Pentium III and 4, speed up code but are a major challenge to software developers. We present a compiler t...
Franz Franchetti, Markus Püschel
97
Voted
IJCNN
2000
IEEE
15 years 4 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
85
Voted
CVPR
2008
IEEE
15 years 6 months ago
Rotation symmetry group detection via frequency analysis of frieze-expansions
We present a novel and effective algorithm for rotation symmetry group detection from real-world images. We propose a frieze-expansion method that transforms rotation symmetry gro...
Seungkyu Lee, Robert T. Collins, Yanxi Liu
ICPR
2006
IEEE
15 years 5 months ago
Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The cur...
Zhongbo Zhang, Siliang Ma, Xiao Han
158
Voted
PKC
2011
Springer
219views Cryptology» more  PKC 2011»
14 years 2 months ago
Linearly Homomorphic Signatures over Binary Fields and New Tools for Lattice-Based Signatures
ded abstract of this work appears in Public Key Cryptography — PKC 2011, ed. R. Gennaro, Springer LNCS 6571 (2011), 1–16. This is the full version. We propose a linearly homom...
Dan Boneh, David Mandell Freeman