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SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
16 years 6 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
EDBT
2006
ACM
190views Database» more  EDBT 2006»
16 years 6 months ago
Fast Approximate Wavelet Tracking on Streams
Recent years have seen growing interest in effective algorithms for summarizing and querying massive, high-speed data streams. Randomized sketch synopses provide accurate approxima...
Graham Cormode, Minos N. Garofalakis, Dimitris Sac...
CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Video copy detection by fast sequence matching
Sequence matching techniques are effective for comparing two videos. However, existing approaches suffer from demanding computational costs and thus are not scalable for large-sca...
Mei-Chen Yeh, Kwang-Ting Cheng
MIRAGE
2009
Springer
16 years 1 months ago
Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active Appearance Model
Abstract. We present a fast and robust iterative method for interpreting face images under non-uniform lighting conditions by using a fitting algorithm which utilizes an illuminat...
Salvador E. Ayala-Raggi, Leopoldo Altamirano Roble...
ICPR
2006
IEEE
16 years 16 days ago
Fast Linear Discriminant Analysis Using Binary Bases
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Feng Tang, Hai Tao