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CVPR
2009
IEEE
17 years 2 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
CVPR
2004
IEEE
16 years 8 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
ICPR
2002
IEEE
16 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
EUROPLOP
2006
15 years 8 months ago
Migrating to e-Learning in Secondary Education
Traditional face-to-face instruction in secondary education has been tested for hundreds of years now and has proven successful, but after the tremendous expansion of computer and...
Michalis Hadjisimou, Aimilia Tzanavari
STACS
2009
Springer
16 years 1 months ago
Generating Shorter Bases for Hard Random Lattices
We revisit the problem of generating a “hard” random lattice together with a basis of relatively short vectors. This problem has gained in importance lately due to new cryptogr...
Joël Alwen, Chris Peikert