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NLE
2008
140views more  NLE 2008»
13 years 4 months ago
Active learning and logarithmic opinion pools for HPSG parse selection
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Jason Baldridge, Miles Osborne
HUC
2004
Springer
13 years 10 months ago
The ContextCam: Automated Point of Capture Video Annotation
: Rich, structured annotations of video recordings enable interesting uses, but existing techniques for manual, and even semi-automated, tagging can be too time-consuming. We prese...
Shwetak N. Patel, Gregory D. Abowd
CVPR
2010
IEEE
14 years 1 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...

Publication
200views
12 years 12 days ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
CVIU
2006
317views more  CVIU 2006»
13 years 4 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid