%0 Journal Article
%T Penalized partial least square discriminant analysis with <mml:math altimg="si0004.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:msub><mml:mrow><mml:mo>ℓ</mml:mo></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mi mathvariant="normal">-</mml:mi><mml:mi>norm</mml:mi></mml:math> for multi-label data
%A Liu, Huawen
%A Ma, Zongjie
%A Zhang, Shichao
%A Wu, Xindong
%A ,
%J Pattern Recognition
%V 48
%N 5
%P 1724-1733
%@ 0031-3203
%D 2015-05-01
%I Elsevier BV
%~ DeepDyve