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ICML
2001
IEEE
16 years 3 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
ALT
2008
Springer
16 years 1 days ago
Prequential Randomness
This paper studies Dawid’s prequential framework from the point of view of the algorithmic theory of randomness. The main result is that two natural notions of randomness coincid...
Vladimir Vovk, Alexander Shen
ECTEL
2007
Springer
15 years 9 months ago
Pedagogical Validation of Courseware
Creating courses by combining Learning Objects (LOs) sourced from third parties, known as courseware, is becoming more popular of late. Although courseware has advantages over tra...
Mark Melia, Claus Pahl
AVBPA
2005
Springer
225views Biometrics» more  AVBPA 2005»
15 years 5 months ago
Video-Based Face Recognition Using Bayesian Inference Model
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
Wei Fan, Yunhong Wang, Tieniu Tan
ALT
2010
Springer
15 years 4 months ago
Towards General Algorithms for Grammatical Inference
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
Alexander Clark