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» A comparative study of two object recognition methods
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ICASSP
2011
IEEE
14 years 7 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
APNOMS
2006
Springer
15 years 7 months ago
Rate-Based and Gap-Based Available Bandwidth Estimation Techniques in Cross-Traffic Context
Recent years have seen an increasing interest in end-to-end available bandwidth estimation. A number of estimation techniques and tools have been developed during the last few year...
Wayman Tan, Marat Zhanikeev, Yoshiaki Tanaka
HCI
2007
15 years 5 months ago
Development of Wide-Area Tracking System for Augmented Reality
In this study, two types of marker-based tracking systems for Augmented Reality were developed: a tracking system using line markers and a tracking system using circular markers. B...
Hirotake Ishii, Hidenori Fujino, Zhiqiang Bian, To...
WIOPT
2010
IEEE
15 years 2 months ago
K-shell decomposition for dynamic complex networks
—K-shell (or k-core) graph decomposition methods were introduced as a tool for studying the structure of large graphs. K-shell decomposition methods have been recently proposed [...
Daniele Miorandi, Francesco De Pellegrini
IVC
2006
187views more  IVC 2006»
15 years 4 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...