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» Learning Visual Representations using Images with Captions
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ARCS
2004
Springer
15 years 5 months ago
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model
In a pervasive computing environment, one is facing the problem of handling heterogeneous data from different sources, transmitted over heterogeneous channels and presented on het...
Kai Yu, Volker Tresp
AMFG
2003
IEEE
244views Biometrics» more  AMFG 2003»
15 years 5 months ago
Manifold of Facial Expression
In this paper, we propose the concept of Manifold of Facial Expression based on the observation that images of a subject’s facial expressions define a smooth manifold in the hig...
Ya Chang, Changbo Hu, Matthew Turk
ICCV
2005
IEEE
16 years 1 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
ACMIDC
2010
15 years 3 months ago
Paper-based multimedia interaction as learning tool for disabled children
The purpose of our research is to support cognitive, motor, and emotional development of severely disabled children in the school context. We designed and implemented a set of nov...
Franca Garzotto, Manuel Bordogna
DAGM
2003
Springer
15 years 5 months ago
A Computational Model of Early Auditory-Visual Integration
We introduce a computational model of sensor fusion based on the topographic representations of a ”two-microphone and one camera” configuration. Our aim is to perform a robust...
Carsten Schauer, Horst-Michael Gross