Local discriminative distance metrics ensemble learning
نویسندگان
چکیده
منابع مشابه
Local discriminative distance metrics ensemble learning
The ultimate goal of distance metric learning is to incorporate abundant discriminative information to keep all data samples in the same class close and those from different classes separated. Local distance metric methods can preserve discriminative information by considering the neighborhood influence. In this paper, we propose a new local discriminative distance metrics (LDDM) algorithm to l...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2013
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2013.01.010