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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 7 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
USENIX
2007
13 years 10 months ago
MapJAX: Data Structure Abstractions for Asynchronous Web Applications
Data Structure Abstractions for Asynchronous Web Applications Daniel S. Myers MIT CSAIL Jennifer N. Carlisle MIT CSAIL James A. Cowling MIT CSAIL Barbara H. Liskov MIT CSAIL The c...
Daniel S. Myers, Jennifer N. Carlisle, James A. Co...
ECCV
2000
Springer
14 years 9 months ago
Colour by Correlation in a Three-Dimensional Colour Space
We improve the promising Colour by Correlation method for computational colour constancy by modifying it to work in a three dimensional colour space. The previous version of the al...
Kobus Barnard, Lindsay Martin, Brian V. Funt
AMC
2007
92views more  AMC 2007»
13 years 7 months ago
An integrated framework for continuous assessment and improvement of manufacturing systems
This paper presents an integrated framework for assessment and ranking of manufacturing systems based on management and organizational performance indicators. The integrated appro...
Ali Azadeh, S. F. Ghaderi, Y. Partovi Miran, V. Eb...