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» Limits of Spectral Clustering
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90
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PKDD
2010
Springer
124views Data Mining» more  PKDD 2010»
14 years 11 months ago
Summarising Data by Clustering Items
Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
Michael Mampaey, Jilles Vreeken
FUIN
2010
143views more  FUIN 2010»
14 years 10 months ago
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Some distributed constraint optimization algorithms use a linear number of messages in the number of agents, but of exponential size. This is often the main limitation for their pr...
Ismel Brito, Pedro Meseguer
100
Voted
INTERSPEECH
2010
14 years 7 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
76
Voted
ICIP
1995
IEEE
16 years 2 months ago
Selection of observations in magnetic resonance spectroscopic imaging
Magnetic resonance spectroscopic imaging (MRSI) is a type of MRI in which both spatial and spectral information are gathered. Unfortunately, the time required to acquire a high-re...
Stanley J. Reeves, R. Hezar
68
Voted
ISBI
2008
IEEE
16 years 1 months ago
Improved IDQC reconstruction for inhomogeneity corrected MR spectroscopy
In this paper, we focus on the reconstruction of iDQC MR spectroscopy data. Unlike standard 1-D MR spectroscopy schemes, iDQC acquires 2-D spectral data to decouple the magnetic f...
Rohini Shankar, Tianliang Gu, Jianhui Zhong, Mathe...