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JAIR
2007
95views more  JAIR 2007»
13 years 4 months ago
Consistency and Random Constraint Satisfaction Models
In this paper, we study the possibility of designing non-trivial random CSP models by exploiting the intrinsic connection between structures and typical-case hardness. We show tha...
Yong Gao, Joseph C. Culberson
ISIPTA
2005
IEEE
146views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Arithmetic on Random Variables: Squeezing the Envelopes with New Joint Distribution Constraints
Uncertainty is a key issue in decision analysis and other kinds of applications. Researchers have developed a number of approaches to address computations on uncertain quantities....
Jianzhong Zhang 0004, Daniel Berleant
JUCS
2007
118views more  JUCS 2007»
13 years 4 months ago
Satisfying Assignments of Random Boolean Constraint Satisfaction Problems: Clusters and Overlaps
: The distribution of overlaps of solutions of a random constraint satisfaction problem (CSP) is an indicator of the overall geometry of its solution space. For random k-SAT, nonri...
Gabriel Istrate
CORR
2010
Springer
162views Education» more  CORR 2010»
13 years 5 months ago
Random sampling of lattice paths with constraints, via transportation
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
Lucas Gerin
ICB
2009
Springer
412views Biometrics» more  ICB 2009»
13 years 11 months ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li