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ESANN
2001
13 years 9 months ago
Transfer functions: hidden possibilities for better neural networks
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Wlodzislaw Duch, Norbert Jankowski
IJON
2008
116views more  IJON 2008»
13 years 8 months ago
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
Paul D. O'Grady, Barak A. Pearlmutter
GI
2007
Springer
14 years 2 months ago
Supporting Early Literacy with Augmented Books - Experiences with an Exploratory Study
: We here report on a study exploring the use of augmented books for early literacy education. Children aged 6-7 interacted alone and in pairs with an AR-book. The study was iterat...
Eva Hornecker, Andreas Dünser
BSN
2006
IEEE
131views Sensor Networks» more  BSN 2006»
14 years 2 months ago
Elaborating Sensor Data using Temporal and Spatial Commonsense Reasoning
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
Bo Morgan, Push Singh
CVPR
2007
IEEE
14 years 10 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal