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» Learning to learn with the informative vector machine
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ITNG
2010
IEEE
14 years 2 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
NOSSDAV
2010
Springer
14 years 1 months ago
TSync: a new synchronization framework for multi-site 3D tele-immersion
Synchronization is a challenge in the multi-site 3D teleimmersion (3DTI) because it is complicated by the coexistence of highly correlated heterogenous streams from multiple sourc...
Zixia Huang, Wanmin Wu, Klara Nahrstedt, Md. Ahsan...
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
14 years 1 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
HICSS
1998
IEEE
176views Biometrics» more  HICSS 1998»
14 years 1 months ago
Intelligent System for Reading Handwriting on Forms
The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain soft...
Michael D. Garris
CP
2006
Springer
14 years 23 days ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...