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NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 6 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
NN
2006
Springer
100views Neural Networks» more  NN 2006»
15 years 6 months ago
Perceiving the unusual: Temporal properties of hierarchical motor representations for action perception
Recent computational approaches to action imitation have advocated the use of hierarchical representations in the perception and imitation of demonstrated actions. Hierarchical re...
Yiannis Demiris, Gavin Simmons
147
Voted
CGF
2005
84views more  CGF 2005»
15 years 6 months ago
Perceptual Evaluation of Impostor Representations for Virtual Humans and Buildings
In large-scale simulations involving complex scenes, such as cities inhabited by crowds, simplifications are almost always necessary to achieve interactive frame-rates. Level of D...
John Hamill, Rachel McDonnell, Simon Dobbyn, Carol...
CGF
2004
74views more  CGF 2004»
15 years 6 months ago
VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data
We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots are a point-based representation of volumetric data. An individual Vo...
Sören Grimm, Stefan Bruckner, Armin Kanitsar,...
IJCV
2002
219views more  IJCV 2002»
15 years 6 months ago
View-Invariant Representation and Recognition of Actions
Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In thi...
Cen Rao, Alper Yilmaz, Mubarak Shah