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PPML: Penalized Partial Least Squares Discriminant Analysis for Multi-Label Learning
  • 所属机构名称：浙江师范大学
  • 会议名称：Proc. of Web-Age Information Management
  • 时间：2014.6.20
  • 成果类型：会议
  • 相关项目：稀疏与冗余表征的理论及应用研究
同会议论文项目
稀疏与冗余表征的理论及应用研究
期刊论文 35 会议论文 18
同项目会议论文
Penalized partial least squares for multi-label data
Compressive neighborhood embedding for classification
PPML: Penalized partial least squares discriminant analysis for multi-label learning
Fisher discrimination based low rank matrix recovery
A new multi-label learning algorithm using shelly neighbors
Low-rank matrix recovery with discriminant regularization
基于稀疏判别的邻域保持嵌入
基于有向滤波器与稀疏表征的图像超分辨率
Compressive neighborhood embedding for classification
判别正则化低秩矩阵恢复
基于R-KSVD与范例的单幅图像的超分辨率算法
一种利用壳邻域的多标签学习算法
Image super-resolution based on guided filter and sparse representation
Sparse discriminating neighborhood preserving embedding
Compressed partial least squares regression: A supervised method for multi-label data
Super-resolution from one single low-resolution image based on R-KSVD and example-based algorithm
Penalized Partial Least Squares for Multi-label Data