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WAPCV
2004
Springer
15 years 11 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
ICIP
2002
IEEE
15 years 11 months ago
Representation of motion activity in hierarchical levels for video indexing and filtering
A method for video indexing and filtering based on motion activity characteristics in hierarchical levels is proposed. To extract motion activity information, an MPEG (MPEG-1/2) v...
Xinding Sun, Ajay Divakaran, B. S. Manjunath
AAAI
2008
15 years 8 months ago
Optimal Metric Planning with State Sets in Automata Representation
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
Björn Ulrich Borowsky, Stefan Edelkamp
GRAPHICSINTERFACE
2004
15 years 7 months ago
Object Representation using 1D Displacement Mapping
In this paper, we propose a new method for rendering image-based objects. An object is decomposed into a set of 1D displacement textures in a preprocessing stage. During rendering...
Yi Xu, Yee-Hong Yang
ICASSP
2010
IEEE
15 years 4 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...