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» Constructing Information Bases Using Associative Structures
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EJIS
2010
52views more  EJIS 2010»
15 years 4 months ago
Same technology, different outcome? Reinterpreting Barley's Technology as an Occasion for Structuring
In the last few decades, several studies have found the same technology implemented in highly similar organizational settings to be associated with very different consequences for...
Starling David Hunter III
BPM
2000
Springer
133views Business» more  BPM 2000»
15 years 8 months ago
Workflow Verification: Finding Control-Flow Errors Using Petri-Net-Based Techniques
Workflow management systems facilitate the everyday operation of business processes by taking care of the logistic control of work. In contrast to traditional information systems, ...
Wil M. P. van der Aalst
ACISICIS
2007
IEEE
15 years 11 months ago
Fuzzy Model Based Recognition of Handwritten Hindi Numerals using Bacterial Foraging
This paper presents the recognition of Handwritten Hindi Numerals. The recognition is based on the modified exponential membership function fitted to the fuzzy sets derived from f...
Madasu Hanmandlu, A. V. Nath, A. C. Mishra, Vamsi ...
ICIP
2001
IEEE
16 years 6 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
185
Voted
TNN
2010
155views Management» more  TNN 2010»
14 years 11 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...