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» Learning Models for Object Recognition
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134
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ICDAR
2009
IEEE
15 years 10 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
ACE
2003
133views Education» more  ACE 2003»
15 years 4 months ago
The Webworkforce - a learning repository to support educators, trainers and Information Technology courses
This paper provides a first account of1 the Building the Internet Workforce project. A number of further papers are planned. An outline of the project’s progress and outcomes is...
John P. Bell, Don Schauder
ECML
2007
Springer
15 years 7 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
AAAI
2008
15 years 5 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
111
Voted
CORR
2008
Springer
170views Education» more  CORR 2008»
15 years 3 months ago
Fast Wavelet-Based Visual Classification
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
Guoshen Yu, Jean-Jacques E. Slotine