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» Kernels for Generalized Multiple-Instance Learning
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IJCAI
2007
15 years 3 months ago
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Dit-Yan Yeung, Hong Chang, Guang Dai
AIRS
2010
Springer
15 years 10 days ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
SIGCSE
2005
ACM
156views Education» more  SIGCSE 2005»
15 years 7 months ago
Experiences teaching operating systems using virtual platforms and linux
Operating system courses teach students much more when they provide hands-on kernel-level project experience with a real operating system. However, enabling a large class of stude...
Jason Nieh, Chris Vaill
109
Voted
NPL
2002
103views more  NPL 2002»
15 years 1 months ago
Kernel Nearest Neighbor Algorithm
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
Kai Yu, Liang Ji, Xuegong Zhang
PCM
2004
Springer
166views Multimedia» more  PCM 2004»
15 years 7 months ago
Gabor-Kernel Fisher Analysis for Face Recognition
Kernel based methods have been of wide concern in the field of machine learning. This paper proposes a novel Gabor-Kernel Fisher analysis method (G-EKFM) for face recognition, whi...
Baochang Zhang