2069 search results - page 11 / 414 » The support vector decomposition machine |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
ADMA
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
CIBCB
2006
IEEE
14 years 1 months ago
2006
IEEE
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
A support vector machine based algorithm for corner detection is presented. It is based on computing the direction of maximum gray-level change for each edge pixel in an image, an...
JMLR
2006
13 years 7 months ago
2006
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...