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» Selecting What Is Important: Training Visual Attention
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JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
HICSS
2002
IEEE
78views Biometrics» more  HICSS 2002»
14 years 14 days ago
What Is Effective GSS Facilitation? A Qualitative Inquiry into Participants' Perceptions
Facilitation in GSS meetings is considered among the most important critical success factors for effective GSS application. A considerable amount of research on GSS facilitation h...
Gert-Jan de Vreede, Jessica Boonstra, Fred Niederm...
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
14 years 22 days ago
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
Carlos E. Thomaz, Duncan Fyfe Gillies
RE
2002
Springer
13 years 7 months ago
Exploring the Relationship between Project Selection and Requirements Analysis: An Empirical Study of the New Millennium Program
The relationship between project selection and requirements analysis is important, yet has not received much attention. The decisions made during project selection directly affect...
Mark Bergman, Gloria Mark
WWW
2006
ACM
14 years 8 months ago
Finding visual concepts by web image mining
We propose measuring "visualness" of concepts with images on the Web, that is, what extent concepts have visual characteristics. This is a new application of "Web i...
Keiji Yanai, Kobus Barnard