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» Modelling perception using image processing algorithms
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NIPS
2007
15 years 8 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
IDEAL
2007
Springer
16 years 29 days ago
Quality of Adaptation of Fusion ViSOM
This work presents a research on the performance capabilities of an extension of the ViSOM (Visualization Induced SOM) algorithm by the use of the ensemble meta-algorithm and a lat...
Bruno Baruque, Emilio Corchado, Hujun Yin
CVPR
2006
IEEE
16 years 8 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
IPM
2011
71views more  IPM 2011»
14 years 10 months ago
Improving semistatic compression via phrase-based modeling
In recent years, new semistatic word-based byte-oriented text compressors, such as Tagged Huffman and those based on Dense Codes, have shown that it is possible to perform fast d...
Nieves R. Brisaboa, Antonio Fariña, Gonzalo...
EVOW
2010
Springer
16 years 1 months ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
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