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» Multi-sensor Data Fusion Using the Influence Model
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ECAI
2010
Springer
13 years 8 months ago
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...
Daan Fierens
SAC
2004
ACM
14 years 28 days ago
Towards multisensor data fusion for DoS detection
In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer’s Theory of Evidence (D-S) as the mathematical foundati...
Christos Siaterlis, Basil S. Maglaris
HICSS
1999
IEEE
183views Biometrics» more  HICSS 1999»
13 years 11 months ago
Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation
The Technology Acceptance Model (TAM) represents an important theoretical contribution toward understanding IS usage and IS acceptance behaviors [6, 19]. However, as noted by seve...
Yogesh Malhotra, Dennis F. Galletta
ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
13 years 7 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 4 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...