Robust learning in adaptive processing of data structures for tree representation based image classification

Siu Yeung Cho, Zheru Chi, Zhiyong Wang, Wan Chi Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In this paper, a novel robust learning in adaptive processing of data structures for tree representation based image classification is proposed. The idea of this learning scheme is to optimize the free parameters of the node representation in data structures by using the layer-by-layer least squares method. The vanishing of gradient information can be recovered to overcome in learning long-term dependency problem for this adaptive processing.
Original languageEnglish
Pages (from-to)108-111
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number2
Publication statusPublished - 1 Dec 2002

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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