1553 search results - page 74 / 311 » Learning from Multiple Sources of Inaccurate Data |
103
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
126
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
116
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
131
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
97
Voted
PAMI
2008
15 years 2 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...