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» Lossy Reduction for Very High Dimensional Data
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KDD
2004
ACM
138views Data Mining» more  KDD 2004»
16 years 6 days ago
IDR/QR: an incremental dimension reduction algorithm via QR decomposition
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
97
Voted
CSDA
2008
158views more  CSDA 2008»
14 years 12 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
ICASSP
2009
IEEE
15 years 6 months ago
Separable PCA for image classification
As an alternative to standard PCA, matrix-based image dimensionality reduction methods have recently been proposed and have gained attention due to reported computational efficie...
Yongxin Taylor Xi, Peter J. Ramadge
SIGMOD
2011
ACM
203views Database» more  SIGMOD 2011»
14 years 2 months ago
Effective data co-reduction for multimedia similarity search
Multimedia similarity search has been playing a critical role in many novel applications. Typically, multimedia objects are described by high-dimensional feature vectors (or point...
Zi Huang, Heng Tao Shen, Jiajun Liu, Xiaofang Zhou
GLVLSI
2003
IEEE
132views VLSI» more  GLVLSI 2003»
15 years 5 months ago
Power-aware pipelined multiplier design based on 2-dimensional pipeline gating
Power-awareness indicates the scalability of the system energy with changing conditions and quality requirements. Multipliers are essential elements used in DSP applications and c...
Jia Di, Jiann S. Yuan