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» A new approach to data driven clustering
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CVPR
2006
IEEE
14 years 7 months ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla
CAISE
2008
Springer
13 years 7 months ago
A New Paradigm for the Enactment and Dynamic Adaptation of Data-Driven Process Structures
Abstract. Industry is increasingly demanding IT support for large engineering processes, i.e., process structures consisting of hundreds up to thousands of processes. Developing a ...
Dominic Müller, Manfred Reichert, Joachim Her...
EUC
2005
Springer
13 years 10 months ago
Energy-Driven Adaptive Clustering Hierarchy (EDACH) for Wireless Sensor Networks
Wireless sensor network consists of small battery powered sensors. Therefore, energy consumption is an important issue and several schemes have been proposed to improve the lifetim...
Kyung Tae Kim, Hee Yong Youn
ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 3 months ago
Evolving Ensemble-Clustering to a Feedback-Driven Process
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
Martin Hahmann, Dirk Habich, Wolfgang Lehner
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...