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Acomys herpesvirus SVMS 226,222

National Institutes of Health

Papers overview

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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
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2017
2017
MRI is the primary screening tool for patients with myelopathy. The decision to obtain additional imaging, notably spinal… Expand
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2014
2014
RGB-D sensors have greatly simplified some common challenges in vision and enabled breakthroughs for several tasks. In this paper… Expand
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2009
2009
Support Vector Machines (SVMs) have been dominant learning techniques for more than ten years, and mostly applied to supervised… Expand
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2008
2008
  • J. Yousif, T. Sembok
  • International Symposium on Information Technology
  • 2008
  • Corpus ID: 15062840
Support vector machines (SVMs) and related kernel methods have become widely known tools for text mining tasks such as… Expand
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Highly Cited
2007
Highly Cited
2007
For many learning tasks, where data is collected over an extended period of time, one has to cope two problems. The distribution… Expand
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2004
2004
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is… Expand
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Review
2002
Review
2002
Overview SVM light is an implementation of Support Vector Machines (SVMs) in C. The main features of the program are the… Expand
Highly Cited
2002
Highly Cited
2002
I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and… Expand
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Highly Cited
2002
Highly Cited
2002
We presentresultson a userindependent fully automaticsystemfor real time recognitionof basicemotionalexpressionsfrom video… Expand
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