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» Kernels for Global Constraints
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AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Mining Quantitative Association Rules in Protein Sequences
Abstract. Lot of research has gone into understanding the composition and nature of proteins, still many things remain to be understood satisfactorily. It is now generally believed...
Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra M...
DAS
2006
Springer
14 years 1 months ago
Offline Handwritten Arabic Character Segmentation with Probabilistic Model
The research on offline handwritten Arabic character recognition has received more and more attention in recent years, because of the increasing needs of Arabic document digitizati...
Pingping Xiu, Liangrui Peng, Xiaoqing Ding, Hua Wa...
DAWAK
2006
Springer
14 years 1 months ago
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
DBISP2P
2006
Springer
110views Database» more  DBISP2P 2006»
14 years 1 months ago
Reusing Classical Query Rewriting in P2P Databases
Sharing of structured data in P2P overlays is a challenging problem, especially in the absence of a global schema. The nature of structured data stored in the overlay enforces stri...
Verena Kantere, Timos K. Sellis
ICPR
2000
IEEE
14 years 1 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu