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» Learning How to Propagate Using Random Probing
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ICML
2003
IEEE
14 years 8 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
JIFS
2007
102views more  JIFS 2007»
13 years 7 months ago
Knowledge propagation in a distributed omnidirectional vision system
In this paper an omnidirectional Distributed Vision System (DVS) is presented. The presented DVS is able to learn to navigate a mobile robot in its working environment without any...
Emanuele Menegatti, C. Simionato, Stefano Tonello,...
ICBA
2004
Springer
121views Biometrics» more  ICBA 2004»
14 years 1 months ago
Watch List Face Surveillance Using Transductive Inference
The open set recognition task, most challenging among the biometric tasks, operates under the assumption that not all the probes have mates in the gallery. It requires the availabi...
Fayin Li, Harry Wechsler
SOCIALCOM
2010
13 years 2 months ago
Learning Influence Propagation of Personal Blogs with Content and Network Analyses
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
CANDC
2009
ACM
14 years 2 months ago
Reflections on craft: probing the creative process of everyday knitters
Crafters today blend age-old techniques such as weaving and pottery with new information and communication technologies such as podcasts, online instructions, and blogs. This inte...
Daniela Karin Rosner, Kimiko Ryokai