365 search results - page 34 / 73 » Generalized Chebyshev Kernels for Support Vector Classificat... |
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...
JMLR
2006
14 years 9 months ago
2006
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
135
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Recently SVMs using spatial pyramid matching (SPM)
kernel have been highly successful in image classification.
Despite its popularity, these nonlinear SVMs have a complexity
O(n...
87
Voted
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
NIPS
1998
14 years 11 months ago
1998
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...