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SUM
2009
Springer
16 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
MM
2009
ACM
137views Multimedia» more  MM 2009»
16 years 1 months ago
A method for rapid personalization of audio equalization parameters
Potential users of audio production software, such as audio equalizers, may be discouraged by the complexity of the interface. We describe a system that simplifies the interface b...
Andrew T. Sabin, Bryan Pardo
DATE
2008
IEEE
111views Hardware» more  DATE 2008»
16 years 29 days ago
A Formal Approach To The Protocol Converter Problem
In the absence of a single module interface standard, integration of pre-designed modules in System-on-Chip design often requires the use of protocol converters. Existing approach...
Karin Avnit, Vijay D'Silva, Arcot Sowmya, S. Rames...
HOTI
2008
IEEE
16 years 29 days ago
High-Speed, Short-Latency Multipath Ethernet Transport for Interconnections
In this paper, we propose an Ethernet-based transmission-guaranteed, congestion-controlled network using a simplified multi-path aggregation scheme. Multi-path aggregation increas...
Nobuyuki Enomoto, Hideyuki Shimonishi, Junichi Hig...
ICPR
2008
IEEE
16 years 28 days ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne