LIU, XinwangYin, JianpingWang, LeiLiu, LingqiaoLiu, JHou, ChenpingZhang, Jian2015-12-132168-2267http://hdl.handle.net/1885/75889Learning an optimal kernel plays a pivotal role in kernel-based methods. Recently, an approach called optimal neighborhood kernel learning (ONKL) has been proposed, showing promising classification performance. It assumes that the optimal kernel will resiAn adaptive approach to learning optimal neighborhood kernels201310.1109/TSMCB.2012.22078892015-12-11