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» Dimensionality Reduction with Image Data
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122
Voted
KDD
2004
ACM
138views Data Mining» more  KDD 2004»
16 years 3 months 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...
SPIESR
1993
125views Database» more  SPIESR 1993»
15 years 4 months ago
Self-Aligning and Compressed Autosophy Video Databases
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...
Klaus Holtz
131
Voted
APGV
2008
ACM
145views Visualization» more  APGV 2008»
15 years 5 months ago
On optimal resampling of view and illumination dependent textures
The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional ...
Jirí Filip, Mike J. Chantler, Michal Haindl
120
Voted
ICMLA
2007
15 years 4 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
135
Voted
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
16 years 3 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani