825 search results - page 145 / 165 » Learning Parts-Based Representations of Data |
IDA
1999
Springer
14 years 3 months ago
1999
Springer
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
CIVR
2006
Springer
14 years 2 months ago
2006
Springer
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
SDM
2007
SIAM
14 years 10 days ago
2007
SIAM
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
WSC
1998
14 years 8 days ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
IDA
2006
Springer
13 years 11 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...