105 search results - page 11 / 21 » Invariant kernel functions for pattern analysis and machine ... |
120
Voted
ESANN
2004
15 years 4 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
128
Voted
NECO
1998
15 years 2 months ago
1998
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
111
Voted
ADMA
2006
Springer
15 years 8 months ago
2006
Springer
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
120
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
146
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Existing approaches to analyzing the asymptotics of graph Laplacians typically assume a well-behaved kernel function with smoothness assumptions. We remove the smoothness assumpti...