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CVPR
2007
IEEE
16 years 7 hour ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
DAC
2006
ACM
15 years 11 months ago
A new hybrid FPGA with nanoscale clusters and CMOS routing
In this paper we propose a hybrid FPGA using nanoscale clusters with an architecture similar to clusters of traditional CMOS FPGAs. The proposed cluster is made of a crossbar of n...
Reza M. Rad, Mohammad Tehranipoor
ICML
2007
IEEE
15 years 10 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
CHI
2009
ACM
15 years 10 months ago
Correlations among prototypical usability metrics: evidence for the construct of usability
Correlations between prototypical usability metrics from 90 distinct usability tests were strong when measured at the task-level (r between .44 and .60). Using test-level satisfac...
Jeff Sauro, James R. Lewis
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
15 years 10 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason