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ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 8 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...
DAC
2000
ACM
14 years 8 months ago
MorphoSys: case study of a reconfigurable computing system targeting multimedia applications
In this paper, we present a case study for the design, programming and usage of a reconfigurable system-on-chip, MorphoSys, which is targeted at computation-intensive applications...
Hartej Singh, Guangming Lu, Eliseu M. Chaves Filho...
ICIP
2000
IEEE
14 years 9 months ago
Optimal Design of Transform Coders and Quantizers for Image Classification
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
Soumya Jana, Pierre Moulin