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ICDAR
2003
IEEE
14 years 1 months ago
A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition
A major feature of new mobiles terminals using penbased interfaces, such as personal assistants or e-book, is their personal character, implying that a good interface should be ea...
Sanparith Marukatat, Rudy Sicard, Thierry Arti&egr...
EDUTAINMENT
2009
Springer
14 years 3 months ago
Game-Like Simulations for Online Adaptive Learning: A Case Study
Serious games are becoming a powerful tool in education. However, there are still open issues needing further research to generalize the use of videogames and game-like simulations...
Javier Torrente, Pablo Moreno-Ger, Baltasar Fern&a...
CVPR
2004
IEEE
14 years 10 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
14 years 28 days ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
SIGIR
2002
ACM
13 years 8 months ago
Bayesian online classifiers for text classification and filtering
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...
Kian Ming Adam Chai, Hai Leong Chieu, Hwee Tou Ng