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» Active Learning Methods for Interactive Image Retrieval
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CIKM
2008
Springer
15 years 4 months ago
Semi-supervised text categorization by active search
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu...
122
Voted
SIGIR
2005
ACM
15 years 8 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
130
Voted
BMVC
1998
15 years 3 months ago
Gesture Recognition for Visually Mediated Interaction using Probabilistic Event Trajectories
An approach to gesture recognition is presented in which gestures are modelled probabilistically as sequences of visual events. These events are matched to visual input using prob...
Stephen J. McKenna, Shaogang Gong
111
Voted
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
15 years 8 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
137
Voted
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
15 years 9 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...