Non-linear dictionary learning with partially labeled data
نویسندگان
چکیده
منابع مشابه
Non-linear dictionary learning with partially labeled data
While recent techniques for discriminative dictionary learning have demonstrated tremendous success in image analysis applications, their performance is often limited by the amount of labeled data available for training. Even though labeling images is difficult, it is relatively easy to collect unlabeled images either by querying the web or from public datasets. Using the kernel method, we prop...
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0167-8655/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.patrec.2010.09.004 ⇑ Corresponding author. Address: National Centre f okritos”, Athens, Greece. Tel.: +302106503204; fax: + E-mail address: [email protected] (A. Kri In this paper, we address the problem of learning aspect models with partially labeled data for the task of document categorization. The motivation of this w...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2015
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2014.07.031