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IPCV
2008
13 years 10 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
SIGCSE
2002
ACM
149views Education» more  SIGCSE 2002»
13 years 8 months ago
A comprehensive project for CS2: combining key data structures and algorithms into an integrated web browser and search engine
We present our experience using a large, real-world application as a course project for the second half of the semester of a CS2 course. Our primary goal for the project was to cr...
Tia Newhall, Lisa Meeden
AI
2010
Springer
13 years 4 months ago
Annotation Concept Synthesis and Enrichment Analysis
Annotation Enrichment Analysis (AEA) is a widely used analytical approach to process data generated by high-throughput genomic and proteomic experiments such as gene expression mic...
Mikhail Jiline, Stan Matwin, Marcel Turcotte
DOLAP
2004
ACM
14 years 2 months ago
An analysis of additivity in OLAP systems
Accurate summary data is of paramount concern in data warehouse systems; however, there have been few attempts to completely characterize the ability to summarize measures. The su...
John Horner, Il-Yeol Song, Peter P. Chen
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 10 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010