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» Learning Models for Object Recognition
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IVC
2006
154views more  IVC 2006»
15 years 1 months ago
Manifold based analysis of facial expression
We propose a novel approach for modeling, tracking and recognizing facial expressions. Our method works on a low dimensional expression manifold, which is obtained by Isomap embed...
Ya Chang, Changbo Hu, Rogerio Feris, Matthew Turk
INTERSPEECH
2010
14 years 8 months ago
Binary coding of speech spectrograms using a deep auto-encoder
This paper reports our recent exploration of the layer-by-layer learning strategy for training a multi-layer generative model of patches of speech spectrograms. The top layer of t...
Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, ...
ECTEL
2007
Springer
15 years 8 months ago
An Information Architecture for Validating Courseware
Abstract. Courseware validation should locate Learning Objects inconsistent with the courseware instructional design being used. In order for validation to take place it is necessa...
Mark Melia, Claus Pahl
AH
2004
Springer
15 years 7 months ago
Swarm-Based Adaptation: Wayfinding Support for Lifelong Learners
This article introduces an approach to adaptive wayfinding support for lifelong learners based on self-organisation theory. It describes an architecture which supports the recordin...
Colin Tattersall, Bert van den Berg, René v...
ICCV
2001
IEEE
16 years 3 months ago
Robust Histogram Construction from Color Invariants
An effective object recognition scheme is to represent and match images on the basis of histograms derived from photometric color invariants. A drawback, however, is that certain c...
Theo Gevers