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COMPUTER
2002
103views more  COMPUTER 2002»
13 years 7 months ago
SimpleScalar: An Infrastructure for Computer System Modeling
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...
Todd M. Austin, Eric Larson, Dan Ernst
ICML
2004
IEEE
14 years 8 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
13 years 7 months ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk
CVPR
1998
IEEE
14 years 9 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
INFOCOM
2009
IEEE
14 years 2 months ago
A Queueing Model Framework of PCE-Based Inter-Area Path Computation
Abstract—Path computation elements (PCE’s) are used to compute end-to-end paths across multiple areas. Multiple PCE’s may be dedicated to each area to provide sufficient path...
Juanjuan Yu, Yue He, Kai Wu, Marco Tacca, Andrea F...