IJCV
2000
13 years 4 months ago
2000
The appearance of an object is composed of local structure. This local structure can be described and characterized by a vector of local features measured by local operators such a...
BMCBI
2006
13 years 4 months ago
2006
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
BMCBI
2008
13 years 4 months ago
2008
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
AML
2010
13 years 4 months ago
2010
Abstract We prove that a sequence of sets containing representatives of cupping partners for every nonzero 0 2 enumeration degree cannot have a 0 2 enumeration. We also prove that ...
UAI
1996
13 years 5 months ago
1996
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
NIPS
2004
13 years 6 months ago
2004
We describe a three
IJCAI
2007
13 years 6 months ago
2007
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
IJCAI
2007
13 years 6 months ago
2007
There is currently much interest in using external memory, such as disk storage, to scale up graph-search algorithms. Recent work shows that the local structure of a graph can be ...
AUSAI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
MIR
2004
ACM
13 years 10 months ago
2004
ACM
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...