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HUMO
2007
Springer
14 years 1 months ago
Recognizing Activities with Multiple Cues
In this paper, we introduce a first-order probabilistic model that combines multiple cues to classify human activities from video data accurately and robustly. Our system works in...
Rahul Biswas, Sebastian Thrun, Kikuo Fujimura
ISBI
2008
IEEE
14 years 8 months ago
An information-based clustering approach for fMRI activation detection
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
Lijun Bai, Wei Qin, Jimin Liang, Jie Tian
ICPR
2010
IEEE
13 years 11 months ago
Malware Detection on Mobile Devices Using Distributed Machine Learning
This paper presents a distributed Support Vector Machine (SVM) algorithm in order to detect malicious software (malware) on a network of mobile devices. The light-weight system mo...
Ashkan Sharifi Shamili, Christian Bauckhage, Tansu...
CVPR
2009
IEEE
15 years 2 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa
CVIU
2006
129views more  CVIU 2006»
13 years 7 months ago
Integrating multiple levels of zoom to enable activity analysis
In this paper, we present a multi-zoom framework for activity analysis in situations requiring combinations of both detailed and coarse views of the scene. The epipolar geometry i...
Paul Smith, Mubarak Shah, Niels da Vitoria Lobo