Department of Mathematics, Shanghai University, Shanghai, China;
Department of Mathematics, Shanghai University, Shanghai, China;
School of Computer Engineering and Sciences, Shanghai University, Shanghai, 200444, P.R.China;
Department of Mathematics, Shanghai University, Shanghai, China;
Department of Mathematics, Shanghai University, Shanghai, China;
Measurement; Learning systems; Manifolds; Databases; Symmetric matrices; Machine learning; Machine learning algorithms;
机译:通过整合补丁的公制学习和地方显着学习来重新识别
机译:使用成对约束进行人员重新识别的内核距离度量学习
机译:基于有效的正半定约束和颜色等级聚合的人员重识别联合权重和度量学习
机译:对人重新识别的PSD约束的不对称本地度量学习
机译:人员重新识别和对侵犯人员重新识别网络的侵犯攻击和辩护
机译:随机关注和人物学习人员重新识别
机译:有效的PSD受限于人员重新识别的非对称度量学习