کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535767 870375 2006 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Invariances in kernel methods: From samples to objects
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Invariances in kernel methods: From samples to objects
چکیده انگلیسی

This paper presents a general method for incorporating prior knowledge into kernel methods such as support vector machines. It applies when the prior knowledge can be formalized by the description of an object around each sample of the training set, assuming that all points in the given object share the same desired class. A number of implementation techniques of this method, based on hard geometrical objects and soft objects based on distributions are considered. Tangent vectors are extensively used for object construction. Empirical results on one artificial dataset and two real datasets of electro-encephalogram signals and face images demonstrate the usefulness of the proposed method. The method could establish a foundation for an information retrieval and person identification systems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 27, Issue 10, 15 July 2006, Pages 1087–1097
نویسندگان
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