119 search results - page 7 / 24 » Sparse kernel methods for high-dimensional survival data |
SADM
2010
13 years 3 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
JMLR
2010
13 years 3 months ago
2010
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
CVPR
2009
IEEE
14 years 9 days ago
2009
IEEE
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...