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164
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CVPR
2011
IEEE
14 years 10 months ago
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
221
Voted

Publication
576views
17 years 3 months ago
Within-die Process Variations: How Accurately can They Be Statistically Modeled?
Within-die process variations arise during integrated circuit (IC) fabrication in the sub-100nm regime. These variations are of paramount concern as they deviate the performance of...
Brendan Hargreaves, Henrik Hult, Sherief Reda
128
Voted
PAMI
2008
182views more  PAMI 2008»
15 years 3 months ago
Gaussian Process Dynamical Models for Human Motion
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
152
Voted
CAISE
2006
Springer
15 years 7 months ago
A Personalized and Context-Aware Adaptation Process for Web-Based Groupware Systems
The evolution of mobile technologies, like web-enable cellphones, PDAs and wireless networks, makes it now possible to use these technologies for collaborative work through web-bas...
Manuele Kirsch-Pinheiro, Marlène Villanova-...
134
Voted
IJPRAI
2010
105views more  IJPRAI 2010»
15 years 29 days ago
An Ontology-Based Model for Representing Image Processing Application Objectives
This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these inf...
Régis Clouard, Arnaud Renouf, Marinette Rev...