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PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
16 years 1 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
GTTSE
2007
Springer
16 years 24 days ago
Automated Merging of Feature Models Using Graph Transformations
Abstract. Feature Models (FMs) are a key artifact for variability and commonality management in Software Product Lines (SPLs). In this context, the merging of FMs is being recogniz...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...
DSN
2003
IEEE
15 years 12 months ago
A Voltage Scheduling Heuristic for Real-Time Task Graphs
Energy constrained complex real-time systems are becoming increasingly important in defense, space, and consumer applications. In this paper, we present a sensible heuristic to ad...
Diganta Roychowdhury, Israel Koren, C. Mani Krishn...
SPATIALCOGNITION
2000
Springer
15 years 10 months ago
Modelling Navigational Knowledge by Route Graphs
Navigation has always been an interdisciplinary topic of research, because mobile agents of different types are inevitably faced with similar navigational problems. Therefore, huma...
Steffen Werner, Bernd Krieg-Brückner, Theo He...
ICASSP
2010
IEEE
15 years 6 months ago
Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
Leonardo R. Bachega, Guangzhi Cao, Charles A. Boum...