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ASAP
2000
IEEE
125views Hardware» more  ASAP 2000»
15 years 8 months ago
High Level Modeling for Parallel Executions of Nested Loop Algorithms
High level modeling and (quantitative) performance analysis of signal processing systems requires high level models for the applications(algorithms) and the implementations (archi...
Ed F. Deprettere, Edwin Rijpkema, Paul Lieverse, B...
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
15 years 4 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
WWW
2007
ACM
16 years 5 months ago
Bayesian network based sentence retrieval model
This paper makes an intensive investigation of the application of Bayesian network in sentence retrieval and introduces three Bayesian network based sentence retrieval models with...
Keke Cai, Jiajun Bu, Chun Chen, Kangmiao Liu, Wei ...
DATE
2010
IEEE
121views Hardware» more  DATE 2010»
15 years 9 months ago
Cost modeling and cycle-accurate co-simulation of heterogeneous multiprocessor systems
—In this paper, we present a method to analyze different implementations of stream-based applications on heterogeneous multiprocessor systems. We take both resource usage and per...
Sven van Haastregt, Eyal Halm, Bart Kienhuis
ISVC
2007
Springer
15 years 10 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...