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AIPS
2003
15 years 8 months ago
Symmetry Reduction for SAT Representations of Transition Systems
Symmetries are inherent in systems that consist of several interchangeable objects or components. When reasoning about such systems, big computational savings can be obtained if t...
Jussi Rintanen
NIPS
1998
15 years 7 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
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
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...