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» Scalable similarity search with optimized kernel hashing
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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
15 years 9 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
ICASSP
2011
IEEE
14 years 1 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
CASES
2004
ACM
15 years 1 months ago
Scalable custom instructions identification for instruction-set extensible processors
Extensible processors allow addition of application-specific custom instructions to the core instruction set architecture. However, it is computationally expensive to automaticall...
Pan Yu, Tulika Mitra
ICML
2002
IEEE
15 years 10 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
PAMI
2008
216views more  PAMI 2008»
14 years 9 months ago
Annotating Images by Mining Image Search Results
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel atte...
Xin-Jing Wang, Lei Zhang 0001, Xirong Li, Wei-Ying...