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WAPCV
2004
Springer
16 years 1 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
3DIM
2003
IEEE
16 years 1 months ago
Human Identification from Body Shape
In this paper, we investigate the utility of static anthropometric distances as a biometric for human identification. The 3D landmark data from the CAESAR database is used to form...
Afzal Godil, Patrick Grother, Sandy Ressler
ACSC
2003
IEEE
16 years 1 months ago
Policies for Sharing Distributed Probabilistic Beliefs
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
Christopher Leckie, Kotagiri Ramamohanarao
CA
2003
IEEE
16 years 1 months ago
Bottom-Up Visual Attention for Virtual Human Animation
We present a system for the automatic generation of bottom-up visual attention behaviours in virtual humans. Bottom-up attention refers to the way in which the environment solicit...
Christopher Peters, Carol O'Sullivan
COOPIS
2003
IEEE
16 years 1 months ago
Learning to Invoke Web Forms
Emerging Web standards promise a network of heterogeneous yet interoperable Web Services. Web Services would greatly simplify the development of many kinds of information agents a...
Nicholas Kushmerick
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