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IJON
2010
120views more  IJON 2010»
13 years 9 months ago
Semi-supervised learning with varifold Laplacians
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
Lei Ding, Peibiao Zhao
IJON
2010
100views more  IJON 2010»
13 years 9 months ago
Automatic detection of onset and cessation of tree stem radius increase using dendrometer data
Dendrometers are devices, which measure continuously the stem radius of a tree. In this work, we studied the use of cumulative sum (CUSUM) charts for automatically and, thus, objec...
Mikko Korpela, Harri Mäkinen, Pekka Nöjd...
IJON
2000
86views more  IJON 2000»
13 years 10 months ago
Gain modulation of recurrent networks
Gain modulation is an important mechanism by which attentional and other inputs modify the amplitude of neuronal responses without changing their selectivity. Gain modulation has ...
Jian Zhang 0004, L. F. Abbott
IJON
2008
105views more  IJON 2008»
13 years 9 months ago
Estimating the number of components in a mixture of multilayer perceptrons
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...
Madalina Olteanu, Joseph Rynkiewicz
IJON
2006
90views more  IJON 2006»
13 years 10 months ago
Adaptive sensory processing for efficient place coding
This work presents a neural model of self-localisation implemented on a simulated mobile robot with a realistic visual input. A population of modelled place cells with overlapping...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...