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» Discrete Fourier Transform Computation Using Neural Networks
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CVPR
2010
IEEE
14 years 10 months ago
The Phase Only Transform for unsupervised surface defect detection
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
Dror Aiger, Hugues Talbot
64
Voted
IJCNN
2008
IEEE
15 years 3 months ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu
NIPS
2001
14 years 10 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic
CRV
2011
IEEE
309views Robotics» more  CRV 2011»
13 years 9 months ago
Optimal Alignment of 3D Data for Spatial Discretization
—We present an algorithm that finds the rotation which best aligns a given configuration of directions on an unsorted set of directions. Using a cost function that we derive in...
Benjamin Huhle, Timo Schairer, Andreas Schilling, ...
73
Voted
ASAP
2009
IEEE
159views Hardware» more  ASAP 2009»
15 years 4 months ago
A High-Performance Hardware Architecture for Spectral Hash Algorithm
—The Spectral Hash algorithm is one of the Round 1 candidates for the SHA-3 family, and is based on spectral arithmetic over a finite field, involving multidimensional discrete...
Ray C. C. Cheung, Çetin K. Koç, John...