794 search results - page 49 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
AVI
2006
13 years 10 months ago
2006
Structured graphics models such as Scalable Vector Graphics (SVG) enable designers to create visually rich graphics for user interfaces. Unfortunately current programming tools ma...
FCCM
1999
IEEE
14 years 1 months ago
1999
IEEE
This paper presents a method, called multiple constant multiplier trees MCMTs, for producing optimized recon gurable hardware implementations of vector products. An algorithm for ...
MICCAI
2004
Springer
14 years 10 months ago
2004
Springer
The classification of normal and malginant colon tissue cells is crucial to the diagnosis of colon cancer in humans. Given the right set of feature vectors, Support Vector Machines...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
NN
2008
Springer
13 years 9 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...