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» Watershed-Based Unsupervised Clustering
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ICML
2005
IEEE
16 years 19 days ago
Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
TSD
2007
Springer
15 years 6 months ago
On the Relative Hardness of Clustering Corpora
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
David Pinto, Paolo Rosso
COLT
2010
Springer
14 years 9 months ago
Characterization of Linkage-based Clustering
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
Margareta Ackerman, Shai Ben-David, David Loker
ICASSP
2011
IEEE
14 years 3 months ago
An approach to sequential grouping in cochannel speech
Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervis...
Ke Hu, DeLiang Wang
ICCV
2011
IEEE
13 years 12 months ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox