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IJCNN
2006
IEEE
14 years 3 months ago
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
— We present a simple, intuitive argument based on “invariant imbedding” in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorith...
Eiji Mizutani, Stuart Dreyfus
JVA
2006
IEEE
14 years 3 months ago
Describing and Researching of Learning Resources with Ontology Model
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...
S. Niwattanakul, M. Eboueya, D. Lillis
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Learned color constancy from local correspondences
The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays...
Tijmen Moerland, Frédéric Jurie
ECAI
2010
Springer
13 years 10 months ago
Implicit Learning of Compiled Macro-Actions for Planning
We build a comprehensive macro-learning system and contribute in three different dimensions that have previously not been addressed adequately. Firstly, we learn macro-sets conside...
Muhammad Abdul Hakim Newton, John Levine
AMR
2007
Springer
140views Multimedia» more  AMR 2007»
14 years 3 months ago
Learning Distance Functions for Automatic Annotation of Images
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (ca...
Josip Krapac, Frédéric Jurie