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NIPS
2004
15 years 8 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
KES
2008
Springer
15 years 7 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
MMS
2010
15 years 5 months ago
Ubimedia based on readable and writable memory tags
Ubimedia is a concept where media files are embedded in everyday objects and the environment. We propose an approach where the user can read and write these files with his/her pe...
Eija Kaasinen, Marketta Niemelä, Timo Tuomist...
PERVASIVE
2011
Springer
14 years 10 months ago
Recognizing Whether Sensors Are on the Same Body
As personal health sensors become ubiquitous, we also expect them to become interoperable. That is, instead of closed, end-to-end personal health sensing systems, we envision stand...
Cory Cornelius, David Kotz
ICIP
2006
IEEE
16 years 9 months ago
Multichannel Sampling of Parametric Signals with a Successive Approximation Property
Recently the sampling theory for certain parametric signals based on rate of innovation has been extended to all sampling kernels that satisfy the Strang-Fix conditions, thus incl...
Julius Kusuma, Vivek K. Goyal