SimpleNPKL: Simple Non-Parametric Kernel Learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity of standard interior-point SDP solvers could be as high as O(n6.5). Such intensive computation cost prohibits NPK learnin...
Saved in:
Main Authors: | ZHUANG, Jinfeng, TSANG, Ivor, HOI, Steven C. H. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2372 https://ink.library.smu.edu.sg/context/sis_research/article/3372/viewcontent/505.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
A Family of Simple Non-Parametric Kernel Learning Algorithms from Pairwise Constraints
by: ZHUANG, Jinfeng, et al.
Published: (2011) -
Non-parametric Kernel Ranking Approach for Social Image Retrieval
by: ZHUANG, Jinfeng, et al.
Published: (2010) -
Unsupervised Multiple Kernel Learning
by: ZHUANG, Jinfeng, et al.
Published: (2011) -
Two-Layer Multiple Kernel Learning
by: ZHUANG, JInfeng, et al.
Published: (2011) -
Active Kernel Learning
by: HOI, Steven C. H., et al.
Published: (2008)