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» Iterative Improvement of Neural Classifiers
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ICPR
2010
IEEE
15 years 2 months ago
Boolean Combination of Classifiers in the ROC Space
Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system o...
Wael Khreich, Eric Granger, Ali Miri, R. Sabourin
AAAI
1998
14 years 11 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
AVBPA
2003
Springer
190views Biometrics» more  AVBPA 2003»
15 years 2 months ago
Combining Face and Iris Biometrics for Identity Verification
Face and iris identification have been employed in various biometric applications. Besides improving the verification performance, the fusion of both of the biometrics has several ...
Yunhong Wang, Tieniu Tan, Anil K. Jain
IJCAI
2007
14 years 11 months ago
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
Ah-Hwee Tan
ROBOCUP
2004
Springer
95views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
Visual Robot Detection in RoboCup Using Neural Networks
Abstract. Robot recognition is a very important point for further improvements in game-play in RoboCup middle size league. In this paper we present a neural recognition method we d...
Ulrich Kaufmann, Gerd Mayer, Gerhard K. Kraetzschm...