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» Discrete Fourier Transform Computation Using Neural Networks
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IPPS
2002
IEEE
15 years 2 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
IJCNN
2000
IEEE
15 years 1 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
CVPR
2008
IEEE
15 years 4 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 3 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
PKC
2011
Springer
219views Cryptology» more  PKC 2011»
14 years 9 days 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