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» Hybrid Modelling for Robust Solving
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IDA
2009
Springer
14 years 2 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
IPM
2007
85views more  IPM 2007»
13 years 7 months ago
A retrospective study of a hybrid document-context based retrieval model
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
14 years 28 days ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
DLOG
2011
12 years 11 months ago
Relaxed Abduction: Robust Information Interpretation for Incomplete Models
This paper introduces relaxed abduction, a novel non-standard reasoning task for description logics. Although abductive reasoning over description logic knowledge bases has been ap...
Thomas Hubauer, Steffen Lamparter, Michael Pirker
ICPR
2010
IEEE
13 years 6 months ago
Robust ECG Biometrics by Fusing Temporal and Cepstral Information
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
Ming Li, Shrikanth Narayanan