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» On Iterative Regularization and Its Application
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BTW
2007
Springer
166views Database» more  BTW 2007»
15 years 8 months ago
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes
: Analysts interact with OLAP data in a predominantly “drill-down” fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Anal...
Svetlana Mansmann, Florian Mansmann, Marc H. Schol...
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
15 years 8 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
IDEAS
2006
IEEE
98views Database» more  IDEAS 2006»
15 years 8 months ago
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
Zhenglu Yang, Masaru Kitsuregawa, Yitong Wang
WECWIS
2006
IEEE
114views ECommerce» more  WECWIS 2006»
15 years 8 months ago
Large-Scale Service Composition in Semantic Service Discovery
Self-Healing and self-optimizing service based applications are important steps towards the self-organizing Service Oriented Architectures (SOA). Self-Organizing SOAs replace serv...
Steffen Bleul, Thomas Weise, Kurt Geihs
CVPR
2005
IEEE
15 years 7 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang