Sciweavers

106 search results - page 7 / 22
» Discovering Operators and Features for Object Detection
Sort
View
ECCV
2004
Springer
15 years 12 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
IJRR
2008
242views more  IJRR 2008»
14 years 10 months ago
Bilateral Symmetry Detection for Real-time Robotics Applications
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
Wai Ho Li, Alan M. Zhang, Lindsay Kleeman
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
15 years 1 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
IFM
1999
Springer
15 years 2 months ago
Integration Problems in Telephone Feature Requirements
The feature interaction problem is prominent in telephone service development. Through a number of case studies, we have discovered that no single semantic framework is suitable f...
J. Paul Gibson, Geoff Hamilton, Dominique Mé...
CLIMA
2004
14 years 11 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis