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NIPS
2007
15 years 8 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
CGF
2008
105views more  CGF 2008»
15 years 7 months ago
Curvature-Domain Shape Processing
We propose a framework for 3D geometry processing that provides direct access to surface curvature to facilitate advanced shape editing, filtering, and synthesis algorithms. The c...
Michael Eigensatz, Robert W. Sumner, Mark Pauly
CII
2008
100views more  CII 2008»
15 years 7 months ago
Knowledge formalization in experience feedback processes: An ontology-based approach
Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understa...
Bernard Kamsu Foguem, Thierry Coudert, C. Bé...
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INFSOF
2006
160views more  INFSOF 2006»
15 years 7 months ago
B-SCP: A requirements analysis framework for validating strategic alignment of organizational IT based on strategy, context, and
Ensuring that organizational IT is in alignment with and provides support for an organization's business strategy is critical to business success. Despite this, business stra...
Steven J. Bleistein, Karl Cox, June M. Verner, Kei...
CLEIEJ
2004
168views more  CLEIEJ 2004»
15 years 7 months ago
Contributions of KDD to the Knowledge Management Process: a Case Study
Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is ...
Paulo de Tarso Costa de Sousa, Hércules Ant...