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IDEAL
2009
Springer
13 years 12 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
CVPR
2009
IEEE
15 years 15 days ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
ISVC
2005
Springer
13 years 11 months ago
Real-Time Video Annotations for Augmented Reality
Augmented reality (AR) provides an intuitive user interface to present information in the context of the real world. A common application is to overlay screen-aligned annotations f...
Edward Rosten, Gerhard Reitmayr, Tom Drummond
DSMML
2004
Springer
13 years 10 months ago
Object Recognition via Local Patch Labelling
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Christopher M. Bishop, Ilkay Ulusoy
ICCV
2003
IEEE
14 years 7 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann