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ICANN
2001
Springer
15 years 9 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
NIPS
2008
15 years 5 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
PR
2006
101views more  PR 2006»
15 years 4 months ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord
ECTEL
2007
Springer
15 years 10 months ago
T-learning Approach: Enhancing Video with Active Elements
T-learning courses are an effective way of education, but their creation is a time-consuming and expensive activity. We explain the process of t-learning courses development as it ...
Kamila Olsevicova, Hana Rohrova, Jaroslava Mikulec...
KI
2007
Springer
15 years 10 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox