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» A decentralized algorithm for spectral analysis
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EUSFLAT
2001
125views Fuzzy Logic» more  EUSFLAT 2001»
15 years 4 months ago
Computational intelligence approaches for parametric estimation and feature extraction of power spectral density
This paper reports an early progress of a feasibility study of a computational intelligence approach to the enhancement of the accuracy of flow measurements in the framework of a ...
Da Ruan, Davide Roverso, Paolo F. Fantoni
ALT
2010
Springer
15 years 2 days ago
A Spectral Approach for Probabilistic Grammatical Inference on Trees
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
Raphaël Bailly, Amaury Habrard, Franço...
NIPS
2008
15 years 4 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 6 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
AIPRF
2008
15 years 4 months ago
A Coherent and Heterogeneous Approach to Clustering
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
Arian Maleki, Nima Asgharbeygi