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» Large Scale Learning of Active Shape Models
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ICCV
2003
IEEE
15 years 11 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
MTA
2002
103views more  MTA 2002»
14 years 9 months ago
STEPS: Supporting Traditional Education Procedures-A TCP/IP Multimedia Networks-Based Model
This paper describes an integrated model for the realization of an Open and Distance Learning (ODL) environment supporting traditional learning procedures, through collaborative le...
Christos Bouras, Petros Lampsas, Paul G. Spirakis
RAS
2000
144views more  RAS 2000»
14 years 9 months ago
Robot navigation in the real world: : Experiments with Manchester's FortyTwo in unmodified, large environments
Mobile robot navigation under controlled laboratory conditions is, by now, state of the art and reliably achievable. To transfer navigation mechanisms used in such small-scale env...
Ulrich Nehmzow, Carl Owen
ICIAR
2010
Springer
15 years 2 months ago
Generic Initialization for Motion Capture from 3D Shape
Abstract. Real time and markerless motion capture is an active research area, due to applications in human-computer interactions, for example. A large part of the existing markerle...
Benjamin Raynal, Michel Couprie, Vincent Nozick
BC
2002
193views more  BC 2002»
14 years 9 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon