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UAI
2001
14 years 11 months ago
Hypothesis Management in Situation-Specific Network Construction
This paper considers the problem of knowledgebased model construction in the presence of uncertainty about the association of domain entities to random variables. Multi-entity Bay...
Kathryn B. Laskey, Suzanne M. Mahoney, Ed Wright
69
Voted
ICCV
2005
IEEE
15 years 3 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
JUCS
2010
152views more  JUCS 2010»
14 years 4 months ago
Compositional Semantics of Dataflow Networks with Query-Driven Communication of Exact Values
: We develop and study the concept of dataflow process networks as used for example by Kahn to suit exact computation over data types related to real numbers, such as continuous fu...
Michal Konecný, Amin Farjudian
74
Voted
VLDB
2001
ACM
139views Database» more  VLDB 2001»
15 years 2 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...