65 search results - page 13 / 13 » Is Nonparametric Learning Practical in Very High Dimensional... |
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
ESANN
2006
13 years 6 months ago
2006
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...