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» Approximation algorithms for clustering uncertain data
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ICMLA
2007
13 years 9 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
ICCV
2009
IEEE
15 years 16 days ago
FLoSS: Facility Location for Subspace Segmentation
Subspace segmentation is the task of segmenting data lying on multiple linear subspaces. Its applications in computer vision include motion segmentation in video, structure-from...
Nevena Lazic, Inmar Givoni, Brendan Frey
BIOCOMP
2008
13 years 9 months ago
Identifying Protein Flexibility by NMA
- Here proposed apriori method for identification of protein flexibility relies on one end-state conformation of the protein. This method has comparative advantage over many others...
Kresimir Sikic, Branko Jeren, Sanja Tomic
ICML
2008
IEEE
14 years 8 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray