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ICANN
2009
Springer
14 years 4 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier
ACL
2010
13 years 8 months ago
Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities
Quantifying the semantic relevance between questions and their candidate answers is essential to answer detection in social media corpora. In this paper, a deep belief network is ...
Baoxun Wang, Xiaolong Wang, Chengjie Sun, Bingquan...
DAGM
2007
Springer
14 years 4 months ago
The Minimum Volume Ellipsoid Metric
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
Karim T. Abou-Moustafa, Frank P. Ferrie
ICPR
2006
IEEE
14 years 11 months ago
On Kernel Selection in Relevance Vector Machines Using Stability Principle
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dm...
ICIP
2006
IEEE
14 years 11 months ago
On the Use of Metrics for Multi-Dimensional Descriptors Clustering
The Visual Thesaurus is a new query approach when no starting image is available. It is a concise representation of all similar regions in a panel of visual patches; the user arra...
Hichem Houissa, Nozha Boujemaa