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219
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ICML
2003
IEEE
16 years 5 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
127
Voted
CHI
2006
ACM
16 years 5 months ago
Precise selection techniques for multi-touch screens
The size of human fingers and the lack of sensing precision can make precise touch screen interactions difficult. We present a set of five techniques, called Dual Finger Selection...
Hrvoje Benko, Andrew D. Wilson, Patrick Baudisch
AXMEDIS
2006
IEEE
231views Multimedia» more  AXMEDIS 2006»
15 years 10 months ago
A Feature-Augmented Grammar for Automated Media Production
The IST Polymnia project aims to create a fully automated system for personalised video generation. Film production involves content creation, selection and composition. Technolog...
Freddy Choi, Richard Beales, Jonathan Hearn, Stuar...
CEC
2005
IEEE
15 years 6 months ago
COFRE: a fuzzy rule coevolutionary approach for multiclass classification problems
— This paper presents a technique for solving multiclass classification problems using a coevolutionary approach. There are m populations, where m is the number of classes. Indi...
Jonatan Gomez, Arturo Garcia, Camilo Silva
CVPR
2003
IEEE
16 years 6 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...