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IJCV
2008
151views more  IJCV 2008»
15 years 4 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
IJVR
2008
135views more  IJVR 2008»
15 years 4 months ago
Employing Virtual Lecturers' Facial Expressions in Virtual Educational Environments
This research began with a preliminary exploratory study that observed the relationship between the facial expressions of three human lecturers in a real academic lecture theatre a...
G. Theonas, D. Hobbs, D. Rigas
IPM
2008
139views more  IPM 2008»
15 years 4 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001
ML
2008
ACM
128views Machine Learning» more  ML 2008»
15 years 4 months ago
QG/GA: a stochastic search for Progol
Most search techniques within ILP require the evaluation of a large number of inconsistent clauses. However, acceptable clauses typically need to be consistent, and are only found ...
Stephen Muggleton, Alireza Tamaddoni-Nezhad
PAMI
2006
147views more  PAMI 2006»
15 years 4 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani