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IJCV
2000
149views more  IJCV 2000»
8 years 7 months ago
Recognition without Correspondence using Multidimensional Receptive Field Histograms
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...
Bernt Schiele, James L. Crowley
BMCBI
2006
101views more  BMCBI 2006»
8 years 7 months ago
Local protein structure prediction using discriminative models
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
Oliver Sander, Ingolf Sommer, Thomas Lengauer
BMCBI
2008
128views more  BMCBI 2008»
8 years 7 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
AML
2010
91views more  AML 2010»
8 years 7 months ago
The limitations of cupping in the local structure of the enumeration degrees
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 ...
Mariya Ivanova Soskova
UAI
1996
8 years 8 months ago
Learning Bayesian Networks with Local Structure
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 ...
Nir Friedman, Moisés Goldszmidt
NIPS
2004
8 years 8 months ago
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation
We describe a three
Erik B. Sudderth, Michael I. Mandel, William T. Fr...
IJCAI
2007
8 years 8 months ago
Compiling Bayesian Networks Using Variable Elimination
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...
Mark Chavira, Adnan Darwiche
IJCAI
2007
8 years 8 months ago
Edge Partitioning in External-Memory Graph Search
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 ...
Rong Zhou, Eric A. Hansen
AUSAI
2006
Springer
8 years 11 months ago
Learning Hybrid Bayesian Networks by MML
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...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
9 years 25 days ago
Boosting contextual information in content-based image retrieval
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...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
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