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» A Framework for Multiple-Instance Learning
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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 8 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
TMI
2010
182views more  TMI 2010»
13 years 8 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
TSE
2010
155views more  TSE 2010»
13 years 8 months ago
A Comparison of Six UML-Based Languages for Software Process Modeling
— Describing and managing activities, resources and constraints of software development processes is a challenging goal for many organizations. A first generation of Software Pro...
Reda Bendraou, Jean-Marc Jézéquel, M...
TVCG
2010
208views more  TVCG 2010»
13 years 8 months ago
Example-Based Human Motion Denoising
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
Hui Lou, Jinxiang Chai
FIS
2010
13 years 8 months ago
Managing On-Demand Business Applications with Hierarchical Service Level Agreements
Business applications are facing an increasing demand for being delivered as on-demand services. Service Level Agreements (SLAs) are a common way for specifying the exact condition...
Wolfgang Theilmann, Ulrich Winkler, Jens Happe, Il...