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» Learning from Multiple Annotators with Gaussian Processes
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ACCV
2007
Springer
14 years 28 days ago
Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds
Abstract. We propose a robust method to extract silhouettes of foreground objects from color video sequences. To cope with various changes in the background, the background is mode...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomo...
LREC
2008
105views Education» more  LREC 2008»
13 years 8 months ago
Extraction and Evaluation of Keywords from Learning Objects: a Multilingual Approach
We report about a project which brings together Natural Language Processing and eLearning. One of the functionalities developed within this project is the possibility to annotate ...
Lothar Lemnitzer, Paola Monachesi
PCI
2005
Springer
14 years 6 days ago
Gossip-Based Greedy Gaussian Mixture Learning
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
Nikos A. Vlassis, Yiannis Sfakianakis, Wojtek Kowa...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 1 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ICASSP
2009
IEEE
14 years 1 months ago
Small-group learning projects to make signal processing more appealing: From speech processing to OFDMA synchronization
Whereas lecturing is the most widely used mode of instruction, we have explored small-group learning projects to make signal processing more appealing at the University and in Eng...
G. Ferre, Audrey Giremus, Eric Grivel