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ICARCV
2006
IEEE
96views Robotics» more  ICARCV 2006»
14 years 1 months ago
Probabilistic Integration of 2D and 3D Cues for Visual Servoing
— In this paper we present a new integration method for improving the performance of visual servoing. The method integrates image-based visual servoing (IBVS) and positionbased v...
A. H. Abdul Hafez, C. V. Jawahar
IDEAL
2000
Springer
13 years 11 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
VISUAL
2000
Springer
13 years 11 months ago
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function
Abstract. Often in content-based image retrieval, a single image attribute may not have enough discriminative information for retrieval. On the other hand, when multiple features a...
Irwin King, Zhong Jin, David Yuk-Ming Chan
JMM
2007
109views more  JMM 2007»
13 years 7 months ago
Multi-Feature Integration with Relevance Feedback on 3D Model Similarity Retrieval
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
Saiful Akbar, Josef Küng, Roland Wagner
WPES
2004
ACM
14 years 1 months ago
Assessing global disclosure risk in masked microdata
In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...