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ICML
2008
IEEE
16 years 7 months ago
Training restricted Boltzmann machines using approximations to the likelihood gradient
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
Tijmen Tieleman
154
Voted
GCB
2004
Springer
91views Biometrics» more  GCB 2004»
15 years 11 months ago
A Method for Fast Approximate Searching of Polypeptide Structures in the PDB
: The main contribution of this paper is a novel approach for fast searching in huge structural databases like the PDB. The data structure is based on an adaption of the generalize...
Hanjo Täubig, Arno Buchner, Jan Griebsch
157
Voted
CRYPTO
1994
Springer
128views Cryptology» more  CRYPTO 1994»
15 years 10 months ago
Linear Cryptanalysis Using Multiple Approximations
We present a technique which aids in the linear cryptanalysis of a block cipher and allows for a reduction in the amount of data required for a successful attack. We note the limit...
Burton S. Kaliski Jr., Matthew J. B. Robshaw
189
Voted
SODA
1997
ACM
171views Algorithms» more  SODA 1997»
15 years 7 months ago
A Practical Approximation Algorithm for the LMS Line Estimator
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
David M. Mount, Nathan S. Netanyahu, Kathleen Roma...
168
Voted
PAMI
2011
15 years 1 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang