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» Spectral Methods for Automatic Multiscale Data Clustering
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IJCAI
2001
13 years 9 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
TASLP
2008
120views more  TASLP 2008»
13 years 7 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
ICDM
2009
IEEE
165views Data Mining» more  ICDM 2009»
14 years 2 months ago
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering
—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
NIPS
2008
13 years 9 months ago
Clustering via LP-based Stabilities
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
EMMCVPR
2003
Springer
14 years 1 months ago
Watershed-Based Unsupervised Clustering
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
Manuele Bicego, Marco Cristani, Andrea Fusiello, V...