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CSL
2010
Springer
13 years 7 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
BMVC
2010
13 years 5 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
FLAIRS
2004
13 years 9 months ago
An Active Architecture for Managing Events in Pervasive Computing Environments
Many dramatizations have depicted a fully automated home living environment, where actions and events are understood or even anticipated. While the realization of such environment...
Edwin Wong, Lisa J. Burnell, Charles Hannon
ICCV
2011
IEEE
12 years 7 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic

Dataset
1353views
12 years 6 months ago
QMUL Junction Dataset
QMUL junction dataset is for research on activity analysis and crowded scenes. Video length: 1 hour (90000 frames) Frame size: 360x288 Frame rate: 25 Hz Compression codec: ff...