Sciweavers

113 search results - page 11 / 23
» Capturing variability in business process models: the Provop...
Sort
View
ECCV
2002
Springer
14 years 9 months ago
Audio-Video Sensor Fusion with Probabilistic Graphical Models
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
Matthew J. Beal, Hagai Attias, Nebojsa Jojic
CAISE
2004
Springer
14 years 26 days ago
Multi-Paradigm Process Management
Automation and integration of business processes are at the heart of contemporary enterprise systems. In the pursuit of this goal, process automation technology is employed at vary...
Michael zur Muehlen, Michael Rosemann
IMC
2004
ACM
14 years 27 days ago
A pragmatic approach to dealing with high-variability in network measurements
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...
Walter Willinger, David Alderson, Lun Li
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
14 years 1 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles
DKE
2007
82views more  DKE 2007»
13 years 7 months ago
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
Ghang Lee, Charles M. Eastman, Rafael Sacks