166 search results - page 13 / 34 » Outlier Detection for High Dimensional Data |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
ICCSA
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
EDBT
2009
ACM
15 years 2 months ago
2009
ACM
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
BMCBI
2010
14 years 9 months ago
2010
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
PAMI
2006
14 years 9 months ago
2006
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...