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WAIM
2009
Springer
15 years 7 months ago
Kernel-Based Transductive Learning with Nearest Neighbors
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
Liangcai Shu, Jinhui Wu, Lei Yu, Weiyi Meng
139
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INTERSPEECH
2010
14 years 9 months ago
Boosted mixture learning of Gaussian mixture HMMs for speech recognition
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Jun Du, Yu Hu, Hui Jiang
138
Voted
AAAI
1998
15 years 3 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
CORR
2008
Springer
100views Education» more  CORR 2008»
15 years 2 months ago
Graph-Based Classification of Self-Dual Additive Codes over Finite Fields
Quantum stabilizer states over Fm can be represented as self-dual additive codes over Fm2 . These codes can be represented as weighted graphs, and orbits of graphs under the genera...
Lars Eirik Danielsen
99
Voted
ICPR
2006
IEEE
16 years 3 months ago
Planning of Multiple Camera Arrangement for Object Recognition in Parametric Eigenspace
When objects are recognized by using multiple cameras, recognition rates strongly depend on the camera arrangement. In this paper, we propose a new method for planning a multiple ...
Tomokazu Takahashi, Osanori Matsugano, Ichiro Ide,...