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» Sampling Methods for Unsupervised Learning
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118
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ASC
2004
15 years 2 months ago
Recognizing environments from action sequences using self-organizing maps
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
Seiji Yamada
PR
2006
111views more  PR 2006»
15 years 2 months ago
An adaptive error penalization method for training an efficient and generalized SVM
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
Yiqiang Zhan, Dinggang Shen
NOSSDAV
2010
Springer
15 years 6 months ago
Randomised pair comparison: an economic and robust method for audiovisual quality assessment
Subjective quality perception studies with human observers are essential for multimedia system design. Such studies are known to be expensive and difficult to administer. They req...
Alexander Eichhorn, Pengpeng Ni, Ragnhild Eg
184
Voted
ICIP
2001
IEEE
16 years 4 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
109
Voted
ICML
2002
IEEE
16 years 3 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton