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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
15 years 10 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
15 years 10 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
IJBRA
2010
121views more  IJBRA 2010»
14 years 8 months ago
Mining Cytochrome b561 proteins from plant genomes
—Cytochrome b561 (Cyt-b561) proteins play important functions in plants such as anti-toxin defense reactions, growth and development, and prevention of damage to plants from exce...
Stephen O. Opiyo, Etsuko N. Moriyama
76
Voted
NLPRS
2001
Springer
15 years 2 months ago
Korean to English TV Caption Translator: ""CaptionEye/KE""
In this paper, we present CaptionEye/KE, a Korean to English machine translation system that is applied to a practical TV caption translation. And its experimental evaluation is p...
Seong-il Yang, Young Kil Kim, Young Ae Seo, Sung-K...
88
Voted
ATAL
2006
Springer
15 years 1 months ago
Robust recognition of physical team behaviors using spatio-temporal models
This paper presents a framework for robustly recognizing physical team behaviors by exploiting spatio-temporal patterns. Agent team behaviors in athletic and military domains typi...
Gita Sukthankar, Katia P. Sycara