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» Intractability and clustering with constraints
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SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
14 years 11 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
BIRTHDAY
2009
Springer
14 years 7 months ago
Management of UML Clusters
Abstract. Software engineering uses UML diagrams as a standard technique for specification and development of software. Various UML diagrams are used for specification of different...
Peggy Schmidt, Bernhard Thalheim
CVPR
2007
IEEE
15 years 11 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
ICDAR
2009
IEEE
15 years 4 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
AICT
2005
IEEE
167views Communications» more  AICT 2005»
15 years 3 months ago
Passive Cluster Based Clock Synchronization in Sensor Network
Clock synchronization has paid a great magnitude of attention in the distributed systems. Sensor networks differ from traditional distributed system in many ways. One of the drama...
Md. Mamun-Or-Rashid, Choong Seon Hong, Chi Hyung I...