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IJCNN
2000
IEEE
15 years 9 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
COLT
2007
Springer
16 years 7 days ago
Generalised Entropy and Asymptotic Complexities of Languages
Abstract. In this paper the concept of asymptotic complexity of languages is introduced. This concept formalises the notion of learnability in a particular environment and generali...
Yuri Kalnishkan, Vladimir Vovk, Michael V. Vyugin
IVC
2008
182views more  IVC 2008»
15 years 6 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
NDQA
2004
119views Education» more  NDQA 2004»
15 years 7 months ago
Finding Answers to Complex Questions
This paper illustrates ongoing research and issues faced when dealing with real-time questions in the domain of Reusable Launch Vehicles (aerospace engineering). The question-answ...
Anne Diekema, Ozgur Yilmazel, Jiangping Chen, Sara...
IJAR
2007
96views more  IJAR 2007»
15 years 6 months ago
Complexity measurement of fundamental pseudo-independent models
Pseudo-independent (PI) models are a special class of probabilistic domain model (PDM) where a set of marginally independent domain variables shows collective dependency, a specia...
J. Lee, Y. Xiang