| S. McConnell and D.B. Skillicorn. Outlier Detection using Semi-Discrete Decomposition. Technical Report 2001-452, Dept. of Computing and Information Science, Queen's University, 2001. |
.... though performing slightly worse than DCT based image compression [26] McConnell and Skillicorn show that SDD di ers from SVD in that it is extremely e ective in nding outlier clusters in datasets and works well in information retrieval for datasets containing a large number of small clusters [20]. Since the entries of the singular vectors are constrained to be in the set f 1,0,1g, computation of SDD becomes an integer programming problem, which is NP hard. Kolda and O Leary [16] propose an iterative alternating heuristic to solve the problem of nding rank one approximations to a matrix ....
S. McConnell and D. B. Skillicorn. Outlier detection using semi-discrete decomposition. Technical Report 2001-452, Dept. of Computing and Information Science, Queen's University, 2001.
.... performing slightly worse than DCTbased image compression [21] McConnell and Skillicorn show that SDD is di erent than SVD in that it is extremely e ective in nding outlier clusters in datasets and works well in information retrieval for datasets containing a large number of small clusters [17]. Since the entries of the singular vectors are constrained to be in the set f 1,0,1g, computation of SDD becomes an integer programming problem, which is NPhard. Kolda and O Leary [15] propose an iterative alternating heuristic to solve the problem of nding rank one approximations to a matrix ....
S. McConnell and D. B. Skillicorn, Outlier detection using semi-discrete decomposition, Technical Report 2001-452, Dept. of Computing and Information Science, Queen's University, 2001.
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Sabine McConnell and D. B. Skillicorn, Outlier detection using semidiscrete decomposition, Tech. Report 2001-452, Queen's University, Department of Computing and Information Science, November 2001.
No context found.
S. McConnell and D.B. Skillicorn. Outlier Detection using Semi-Discrete Decomposition. Technical Report 2001-452, Dept. of Computing and Information Science, Queen's University, 2001.
No context found.
S. McConnell and D. B. Skillicorn. Outlier detection using semi-discrete decomposition. Technical Report 2001-452, Dept. of Computing and Information Science, Queen's University, 2001.
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