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ICCAD
1995
IEEE
88views Hardware» more  ICCAD 1995»
15 years 4 months ago
LOT: logic optimization with testability-new transformations using recursive learning
: A new approach to optimize multi-level logic circuits is introduced. Given a multi-level circuit, the synthesis method optimizes its area, simultaneously enhancing its random pat...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...
103
Voted
MOC
2000
132views more  MOC 2000»
15 years 15 days ago
Lattice computations for random numbers
We improve on a lattice algorithm of Tezuka for the computation of the k-distribution of a class of random number generators based on finite fields. We show how this is applied to ...
Raymond Couture, Pierre L'Ecuyer
95
Voted
NIPS
2003
15 years 2 months ago
Discriminative Fields for Modeling Spatial Dependencies in Natural Images
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
Sanjiv Kumar, Martial Hebert
NECO
2006
111views more  NECO 2006»
15 years 20 days ago
Dynamics and Topographic Organization of Recursive Self-Organizing Maps
Recently, there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. However, at present, ...
Peter Tiño, Igor Farkas, Jort van Mourik
84
Voted
INFORMATICALT
2006
150views more  INFORMATICALT 2006»
15 years 21 days ago
A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou