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IPPS
1996
IEEE
15 years 7 months ago
A Parallel Algorithm for Minimization of Finite Automata
In this paper, we present a parallel algorithm for the minimization of deterministic finite state automata (DFA's) and discuss its implementation on a connection machine CM-5...
Bala Ravikumar, X. Xiong
ADVIS
2004
Springer
15 years 7 months ago
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Luís G. Rueda, B. John Oommen
143
Voted
UAI
2008
15 years 4 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
125
Voted
IVC
2002
97views more  IVC 2002»
15 years 3 months ago
A neural approach to zoom-lens camera calibration from data with outliers
Camera systems with zoom lenses are inherently more useful than those with passive lenses due to their flexibility and controllability. However, their calibration raises several c...
Moumen T. Ahmed, Aly A. Farag
ICTAI
2010
IEEE
15 years 1 months ago
Instance-Based Ensemble Pruning via Multi-Label Classification
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...
Fotini Markatopoulou, Grigorios Tsoumakas, Ioannis...