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Abstract: . Developed only recently, support vector learning machines achieve high generalization ability by minimizing a bound on the expected test error; however, so far there existed no way of adding knowledge about invariances of a classification problem at hand. We present a method of incorporating prior knowledge about transformation invariances by applying transformations to support vectors, the training examples most critical for determining the classification boundary. 1 Incorporating... (Update)
Context of citations to this paper: More
...are often called virtual examples. In the SVM framework, when applied only to the SVs, it leads to the Virtual Support Vector (VSV) method [10]. An alternative to this is to modify directly the cost function in order to take into account the tangent vectors. This has been...
.... are the two training stages and an increased number of SV after the second stage, which lead to longer training and classification times [12]. Other methods like invariant hyperplanes try to modify the kernel function in a very simple way, such that it globally fits all...
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BibTeX entry: (Update)
B. Scholkopf, C. Burges, and V. Vapnik. Incorporating invariances in support vector learning machines. In Articial Neural Networks | ICANN'96, volume 1112, pages 47-52, Berlin, 1996. Springer Lecture Notes in Computer Science. http://citeseer.ist.psu.edu/sch96incorporating.html More
@misc{ sch96incorporating,
author = "B. Sch and o Burges and V. Vapnik",
title = "Incorporating invariances in support vector learning machines",
text = "B. Scholkopf, C. Burges, and V. Vapnik. Incorporating invariances in support
vector learning machines. In Articial Neural Networks | ICANN'96, volume
1112, pages 47-52, Berlin, 1996. Springer Lecture Notes in Computer Science.",
year = "1996",
url = "citeseer.ist.psu.edu/sch96incorporating.html" }
Citations (may not include all citations):1 639--671 Boser (context) - Abu--Mostafa - 1995
1 Pittsburgh ACM (context) - Workshop, Learning - 1992
The graph only includes citing articles where the year of publication is known.
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