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IICAI
2003
15 years 8 months ago
Performance Analysis of an Acyclic Genetic approach to Learn Bayesian Network Structure
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Pankaj B. Gupta, Vicki H. Allan
IJCV
1998
96views more  IJCV 1998»
15 years 6 months ago
The Intrinsic Structure of Optic Flow Incorporating Measurement Duality
The purpose of this article is to define optic flow for scalar and density images without using a priori knowledge other than its defining conservation principle, and to incorpo...
Luc Florack, Wiro J. Niessen, Mads Nielsen
IJDAR
2011
114views more  IJDAR 2011»
15 years 1 months ago
Setting up a competition framework for the evaluation of structure extraction from OCR-ed books
Abstract. This paper describes the setup of the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition was to evaluate and compare automatic technique...
Antoine Doucet, Gabriella Kazai, Bodin Dresevic, A...
EMMCVPR
2011
Springer
14 years 6 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
CG
2006
Springer
15 years 6 months ago
Interactive out-of-core isosurface visualisation in time-varying data sets
We present a combination of techniques for interactive out-of-core visualisation of isosurfaces from large timedependent data sets. We make use of an index tree, computed in a pre...
Benjamin Vrolijk, Frits H. Post