178 search results - page 14 / 36 » Learning the unified kernel machines for classification |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We consider the problem of embedding arbitrary objects (e.g., images, audio, documents) into Euclidean space subject to a partial order over pairwise distances. Partial order cons...
94
Voted
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
84
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
79
Voted
COLT
2008
Springer
14 years 11 months ago
2008
Springer
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...