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ICML
2005
IEEE
14 years 10 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
ICPR
2008
IEEE
14 years 4 months ago
Graph drawing using quantum commute time
In this paper, we explore experimentally the use of the commute time of the continuous-time quantum walk for graph drawing. For the classical random walk, the commute time has bee...
David Emms, Edwin R. Hancock, Richard C. Wilson
EMNLP
2006
13 years 11 months ago
Lexicon Acquisition for Dialectal Arabic Using Transductive Learning
We investigate the problem of learning a part-of-speech (POS) lexicon for a resource-poor language, dialectal Arabic. Developing a high-quality lexicon is often the first step tow...
Kevin Duh, Katrin Kirchhoff
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 2 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk
PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
14 years 4 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010