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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 1 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 8 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
CAISE
1997
Springer
13 years 11 months ago
OO-METHOD: An OO Software Production Environment Combining Conventional and Formal Methods
OO-Method is an OO Methodology that blends the use of formal specification systems with conventional OO methodologies based on practice. In contrast to other approaches in this fi...
Oscar Pastor, Emilio Insfrán, Vicente Pelec...
CGF
2008
125views more  CGF 2008»
13 years 7 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
CLUSTER
2007
IEEE
13 years 7 months ago
Combining data sharing with the master-worker paradigm in the common component architecture
Abstract— Software component technologies are being accepted as an adequate solution for handling the complexity of applications. However, existing software component models tend...
Gabriel Antoniu, Hinde-Lilia Bouziane, Mathieu Jan...