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VISAPP
2008
15 years 8 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
15 years 6 months ago
A Markovian approach to the control of genetic regulatory networks
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while ...
Peter C. Y. Chen, Jeremy W. Chen
IJON
2006
43views more  IJON 2006»
15 years 6 months ago
A two-dimensional population density approach to modeling the dLGN/PGN network
The interaction of two populations of integrate-and-fire-or-burst neurons representing thalamocortical cells from the dorsal lateral geniculate nucleus (dLGN) and thalamic reticul...
Marco A. Huertas, Gregory D. Smith
COMBINATORICS
2004
94views more  COMBINATORICS 2004»
15 years 6 months ago
Short Cycles in Random Regular Graphs
Consider random regular graphs of order n and degree d = d(n) 3. Let g = g(n) 3 satisfy (d-1)2g-1 = o(n). Then the number of cycles of lengths up to g have a distribution simila...
Brendan D. McKay, Nicholas C. Wormald, Beata Wysoc...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 11 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott