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TNN
1998
111views more  TNN 1998»
13 years 8 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ICCV
2011
IEEE
12 years 9 months ago
Learning a Category Independent Object Detection Cascade
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...
Esa Rahtu, Juho Kannala, Matthew Blaschko
ICAC
2006
IEEE
14 years 3 months ago
Learning Application Models for Utility Resource Planning
Abstract— Shared computing utilities allocate compute, network, and storage resources to competing applications on demand. An awareness of the demands and behaviors of the hosted...
Piyush Shivam, Shivnath Babu, Jeffrey S. Chase
IADIS
2003
13 years 10 months ago
Learning with Educational Hypermedia Software: The Impact of Signals in Animations
The present study investigated the instructional value of signals for learning while comparing two animations that differed solely in the presence / absence of visual signals. Sig...
Thomas Huk, Mattias Steinke, Christian Floto
ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
13 years 7 months ago
Discrimination Aware Decision Tree Learning
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy