Skip to search formSkip to main contentSkip to account menu
You are currently offline. Some features of the site may not work correctly.

Dipodillus herpesvirus SVMS 065,081

National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Domain adaptation between diverse source and target domains is challenging, especially in the real-world visual recognition tasks… Expand
  • table 1
2018
2018
In this paper, we propose a new exemplar-based multi-view domain generalization (EMVDG) framework for visual recognition by… Expand
  • figure 1
  • table I
  • figure 2
  • table II
2016
2016
Object detection is an important research area in the field of computer vision. Many detection algorithms have been proposed… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table II
2016
2016
Semi-arid savannas are endangered by changes in the fragile equilibrium between rainfalls, fires and grazing pressure exerted by… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
2010
2010
This work describes the potential of oil spill classification from optical satellite images, as investigated by applying… Expand
2009
2009
We re-visit Support Vector Machines (SVMs) and provide a novel interpretation thereof in terms of weighted class means and… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
2009
2009
Discrete wavelet transform (DWT) provides a multiresolution view of hyperspectral data. This paper proposes to use stacked… Expand
  • figure 1
  • table I
  • table II
  • table III
  • table IV
2007
2007
SVM(support vector machine) algorithm is the newest branch of statistic learning theory.Because the structural risk minimization… Expand
Highly Cited
2005
Highly Cited
2005
We present a new support vector machine (SVM)-based approach to predict the substrate specificity of subtypes of a given protein… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
2002
2002
Today, most of the data in business applications is stored in relational database systems or in data warehouses built on top of… Expand
  • figure 1
  • figure 3
  • figure 4
  • figure 5
  • figure 6