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Dipodillus herpesvirus SVMS 065,081

 
National Institutes of Health

Papers overview

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Highly Cited
2018
Highly Cited
2018
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs
Domain adaptation between diverse source and target domains is challenging, especially in the real-world visual recognition tasks… Expand
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2018
2018
An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition
In this paper, we propose a new exemplar-based multi-view domain generalization (EMVDG) framework for visual recognition by… Expand
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2016
2016
Detect2Rank: Combining Object Detectors Using Learning to Rank
Object detection is an important research area in the field of computer vision. Many detection algorithms have been proposed… Expand
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2016
2016
Combining UAV-imagery and machine learning for wildlife conservation
Semi-arid savannas are endangered by changes in the fragile equilibrium between rainfalls, fires and grazing pressure exerted by… Expand
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2010
2010
Oil spill classification from multi-spectral satellite images: exploring different machine learning techniques
This work describes the potential of oil spill classification from optical satellite images, as investigated by applying… Expand
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2009
2009
Forschungsberichte der Fakultät IV – Elektrotechnik und Informatik A Multi-Class Support Vector Machine Based on Scatter Criteria
We re-visit Support Vector Machines (SVMs) and provide a novel interpretation thereof in terms of weighted class means and… Expand
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2009
2009
Combining Wavelet Features of Hyperspectral Data by Stacked SVM
Discrete wavelet transform (DWT) provides a multiresolution view of hyperspectral data. This paper proposes to use stacked… Expand
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2007
2007
Analysis of OAO-SVMs' Training Time and Its Algorithm Improvement
SVM(support vector machine) algorithm is the newest branch of statistic learning theory.Because the structural risk minimization… Expand
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Highly Cited
2005
Highly Cited
2005
Specificity prediction of adenylation domains in nonribosomal peptide synthetases (NRPS) using transductive support vector machines (TSVMs)
We present a new support vector machine (SVM)-based approach to predict the substrate specificity of subtypes of a given protein… Expand
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2002
2002
Efficient kernel calculation for multirelational data
Today, most of the data in business applications is stored in relational database systems or in data warehouses built on top of… Expand
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