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» A Quantitative Theory of Neural Computation
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ECCV
2008
Springer
16 years 3 months ago
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
Over the years, several spatio-temporal interest point detectors have been proposed. While some detectors can only extract a sparse set of scaleinvariant features, others allow for...
Geert Willems, Tinne Tuytelaars, Luc J. Van Gool
IJON
2006
100views more  IJON 2006»
15 years 1 months ago
Analyzing the robustness of redundant population codes in sensory and feature extraction systems
Sensory systems often use groups of redundant neurons to represent stimulus information both during transduction and population coding of features. This redundancy makes the syste...
Christopher J. Rozell, Don H. Johnson
SAC
2004
ACM
15 years 6 months ago
Towards multisensor data fusion for DoS detection
In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer’s Theory of Evidence (D-S) as the mathematical foundati...
Christos Siaterlis, Basil S. Maglaris
CHI
2006
ACM
16 years 1 months ago
"Sketching" nurturing creativity: commonalities in art, design, engineering and research
icians or philosophers use abstract symbols to derive formulas or form proofs. Indeed, these sketches are structural geometric proofs, consistent with Plato's supposition that...
Kumiyo Nakakoji, Atau Tanaka, Daniel Fallman
ATAL
2003
Springer
15 years 6 months ago
Social navigation: modeling, simulation, and experimentation
The term social navigation refers to the process of seeking social interaction as a source of navigational support. In this paper we present a computational model of social naviga...
Mark O. Riedl, Robert St. Amant