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» Structural Learning in Object Oriented Domains
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CVPR
2011
IEEE
12 years 11 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
13 years 11 months ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas
IWPC
1998
IEEE
13 years 12 months ago
Design Pattern Recovery in Object-Oriented Software
An approach to recover object oriented design patterns from design and code is presented. The pattern recovery process is based on a multi-stage filtering strategy to avoid combin...
Giuliano Antoniol, Roberto Fiutem, L. Cristoforett...
ICALT
2006
IEEE
14 years 1 months ago
Adaptive Learning Objects Sequencing for Competence-Based Learning
Lifelong learning refers to the activities people perform throughout their life to improve their competence in a particular field. Although adaptive educational hypermedia systems...
Pythagoras Karampiperis, Demetrios G. Sampson
IJCAI
2007
13 years 9 months ago
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...