71 search results - page 5 / 15 » Learning low dimensional predictive representations |
DMIN
2008
13 years 9 months ago
2008
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
MMAS
2011
Springer
13 years 2 months ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
NIPS
2004
13 years 8 months ago
2004
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...