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» Process modelling: the deontic way
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NIPS
2004
13 years 10 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
AAAI
2000
13 years 9 months ago
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Researchers in the ontology-design field have developed the content for ontologies in many domain areas. Recently, ontologies have become increasingly common on the WorldWide Web ...
Natalya Fridman Noy, Mark A. Musen
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 8 months ago
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
Fabrice Rossi, Brieuc Conan-Guez
DAGM
2009
Springer
13 years 6 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
SIGUCCS
2003
ACM
14 years 1 months ago
WebDAV: what it is, what it does, why you need it
Legacy network file services such as NFS, SMB/CIFS, and AFP changed the way we worked. File services running on crossplatform networks allowed us to save our files on remote syste...
Luis O. Hernández, Mahmoud Pegah