119 search results - page 3 / 24 » Sparse kernel methods for high-dimensional survival data |
ICDM
2002
IEEE
14 years 9 days ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
SDM
2004
SIAM
13 years 8 months ago
2004
SIAM
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
MICAI
2005
Springer
14 years 25 days ago
2005
Springer
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
JMLR
2012
11 years 9 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...