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17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
SIGMOD
2009
ACM
134views Database» more  SIGMOD 2009»
16 years 7 months ago
Keyword query cleaning using hidden Markov models
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
Ken Q. Pu
IEEEPACT
2009
IEEE
16 years 1 months ago
Automatic Tuning of Discrete Fourier Transforms Driven by Analytical Modeling
—Analytical models have been used to estimate optimal values for parameters such as tile sizes in the context of loop nests. However, important algorithms such as fast Fourier tr...
Basilio B. Fraguela, Yevgen Voronenko, Markus P&uu...
ATAL
2007
Springer
16 years 1 months ago
Convergence and rate of convergence of a simple ant model
We present a simple ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population compute...
Amine M. Boumaza, Bruno Scherrer
FPL
2003
Springer
95views Hardware» more  FPL 2003»
16 years 1 days ago
A Model for Hardware Realization of Kernel Loops
Abstract. Hardware realization of kernel loops holds the promise of accelerating the overall application performance and is therefore an important part of the synthesis process. In...
Jirong Liao, Weng-Fai Wong, Tulika Mitra