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» A Case Study for Learning from Imbalanced Data Sets
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CVPR
2010
IEEE
14 years 1 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
FLAIRS
2010
13 years 10 months ago
Affect and Mental Engagement: Towards Adaptability for Intelligent
This paper discusses novel research conducted to study the direct impact of learner's affective changes on the value of a well established EEG-mental engagement index. An acq...
Maher Chaouachi, Pierre Chalfoun, Imene Jraidi, Cl...
IJON
2007
88views more  IJON 2007»
13 years 9 months ago
Information maximization in face processing
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Marian Stewart Bartlett
ICML
2008
IEEE
14 years 9 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
IIE
2006
101views more  IIE 2006»
13 years 9 months ago
Finnish Teachers and Pupils as Users of ICT
The main task of this follow-up study was to describe teachers' expectations, experiences and possible changes in the pedagogical use of ICT. As a part of an ICT development p...
Päivi Atjonen