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IDA
1998
Springer
13 years 4 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
SIAMADS
2010
145views more  SIAMADS 2010»
12 years 11 months ago
Propagation of Spike Sequences in Neural Networks
Precise spatiotemporal sequences of action potentials are observed in many brain areas and are thought to be involved in the neural processing of sensory stimuli. Here, we examine ...
Arnaud Tonnelier
DAGM
2007
Springer
13 years 8 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
ICANN
2007
Springer
13 years 10 months ago
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image proc...
George Caridakis, Christos Pateritsas, Athanasios ...
EVI
2010
156views more  EVI 2010»
12 years 11 months ago
GPU implementation of a road sign detector based on particle swarm optimization
Road Sign Detection is a major goal of the Advanced Driving Assistance Systems. Most published work on this problem share the same approach by which signs are first detected and th...
Luca Mussi, Stefano Cagnoni, Elena Cardarelli, Fab...