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» The use of recognition in group decision-making
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ICMCS
2007
IEEE
151views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Exploring Contextual Information in a Layered Framework for Group Action Recognition
Contextual information is important for sequence modeling. Hidden Markov Models (HMMs) and extensions, which have been widely used for sequence modeling, make simplifying, often u...
Dong Zhang, Samy Bengio
ATAL
2005
Springer
15 years 3 months ago
A cooperative multi-agent approach to free flight
The next generation of air traffic control will require automated decision support systems in order to meet safety, reliability, flexibility, and robustness demands in an environ...
Jared C. Hill, F. Ryan Johnson, James K. Archibald...
85
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CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Sequential Classification for Microarray and Clinical Data
Sequential classification uses in a stepwise process only part of the data (evidence) for partial classification, i.e., classifying only objects with sufficient evidence and leavi...
Günter Tusch
ICCV
2011
IEEE
13 years 9 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
CG
2010
Springer
14 years 8 months ago
The effect of task on classification accuracy: Using gesture recognition techniques in free-sketch recognition
Generating, grouping, and labeling free-sketch data is a difficult and time-consuming task for both user study participants and researchers. To simplify this process for both part...
M. Field, S. Gordon, Eric Jeffrey Peterson, R. Rob...