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» A choice model with infinitely many latent features
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CVPR
2005
IEEE
14 years 9 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
MANSCI
2006
70views more  MANSCI 2006»
13 years 7 months ago
Modeling the "Pseudodeductible" in Insurance Claims Decisions
In many different managerial contexts, consumers "leave money on the table" by, for example, their failure to claim rebates, use available coupons, and so on. This proje...
Michael Braun, Peter S. Fader, Eric T. Bradlow, Ho...
FMSB
2008
129views Formal Methods» more  FMSB 2008»
13 years 9 months ago
Rule-Based Modelling, Symmetries, Refinements
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Vincent Danos, Jérôme Feret, Walter F...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
WSC
2004
13 years 8 months ago
More "Normal" Than Normal: Scaling Distributions and Complex Systems
One feature of many naturally occurring or engineered complex systems is tremendous variability in event sizes. To account for it, the behavior of these systems is often described...
Walter Willinger, David Alderson, John C. Doyle, L...