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» Using Clustering Methods for Discovering Event Structures
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CVPR
2012
IEEE
11 years 11 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
ICDAR
2009
IEEE
13 years 6 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
CIVR
2005
Springer
122views Image Analysis» more  CIVR 2005»
14 years 2 months ago
Semantic Event Detection in Structured Video Using Hybrid HMM/SVM
In this paper, we propose a new semantic event detection algorithm in structured video. A hybrid method that combines HMM with SVM to detect semantic events in video is proposed. T...
Tae Meon Bae, Cheon Seog Kim, Sung Ho Jin, Ki Hyun...
MICCAI
2008
Springer
14 years 9 months ago
Discovering Structure in the Space of Activation Profiles in fMRI
We present a method for discovering patterns of activation observed through fMRI in experiments with multiple stimuli/tasks. We introduce an explicit parameterization for the profi...
Danial Lashkari, Ed Vul, Nancy Kanwisher, Polin...
HIPC
2009
Springer
13 years 6 months ago
Extracting the textual and temporal structure of supercomputing logs
Supercomputers are prone to frequent faults that adversely affect their performance, reliability and functionality. System logs collected on these systems are a valuable resource o...
Sourabh Jain, Inderpreet Singh, Abhishek Chandra, ...