657 search results - page 64 / 132 » Scaling-Up Support Vector Machines Using Boosting Algorithm |
151
click to vote
MP
2006
15 years 4 months ago
2006
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
119
click to vote
IWDW
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, we use the previously proposed calibrated DCT features [9] to construct a Support Vector Machine classifier for JPEG images capable of recognizing which steganograp...
187
click to vote
ESANN
2006
15 years 6 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
149
click to vote
CORR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
142
click to vote
IBPRIA
2007
Springer
15 years 11 months ago
2007
Springer
On–board pedestrian detection is a key task in advanced driver assistance systems. It involves dealing with aspect–changing objects in cluttered environments, and working in a ...