Svetha Venkatesh
Svetha Venkatesh
Professor of Computer Science, Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Video abstraction: A systematic review and classification
BT Truong, S Venkatesh
ACM transactions on multimedia computing, communications, and applications …, 2007
9302007
Activity recognition and abnormality detection with the switching hidden semi-markov model
TV Duong, HH Bui, DQ Phung, S Venkatesh
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
6672005
Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model
NT Nguyen, DQ Phung, S Venkatesh, H Bui
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
4382005
Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study
L Dandona, R Dandona, GA Kumar, DK Shukla, VK Paul, K Balakrishnan, ...
The Lancet 390 (10111), 2437-2460, 2017
3762017
Policy recognition in the abstract hidden markov model
HH Bui, S Venkatesh, G West
Journal of Artificial Intelligence Research 17, 451-499, 2002
3732002
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
S An, W Liu, S Venkatesh
Pattern Recognition 40 (8), 2154-2162, 2007
2842007
Joint learning and dictionary construction for pattern recognition
DS Pham, S Venkatesh
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
2642008
Robot navigation inspired by principles of insect vision
MV Srinivasan, JS Chahl, K Weber, S Venkatesh, MG Nagle, SW Zhang
Robotics and Autonomous Systems 26 (2-3), 203-216, 1999
2421999
How honeybees make grazing landings on flat surfaces
MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh
Biological cybernetics 83 (3), 171-183, 2000
2352000
Face recognition using kernel ridge regression
S An, W Liu, S Venkatesh
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007
1992007
New enhancements to cut, fade, and dissolve detection processes in video segmentation
BT Truong, C Dorai, S Venkatesh
Proceedings of the eighth ACM international conference on Multimedia, 219-227, 2000
1972000
: A Convolutional Net for Medical Records
P Nguyen, T Tran, N Wickramasinghe, S Venkatesh
IEEE journal of biomedical and health informatics 21 (1), 22-30, 2016
1962016
Deepcare: A deep dynamic memory model for predictive medicine
T Pham, T Tran, D Phung, S Venkatesh
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 30-41, 2016
1912016
Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view
W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ...
Journal of medical Internet research 18 (12), e323, 2016
1902016
Predicting healthcare trajectories from medical records: A deep learning approach
T Pham, T Tran, D Phung, S Venkatesh
Journal of biomedical informatics 69, 218-229, 2017
1682017
On the classification of image features
S Venkatesh, R Owens
Pattern Recognition Letters 11 (5), 339-349, 1990
1661990
Recognizing and monitoring high-level behaviors in complex spatial environments
NT Nguyen, HH Bui, S Venkatsh, G West
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
1552003
Early jump-out corner detectors
J Cooper, S Venkatesh, L Kitchen
IEEE Transactions on pattern Analysis and machine intelligence 15 (8), 823-828, 1993
1501993
Using multiple windows to track concept drift
MM Lazarescu, S Venkatesh, HH Bui
Intelligent data analysis 8 (1), 29-59, 2004
1482004
Toward automatic extraction of expressive elements from motion pictures: Tempo
B Adams, C Dorai, S Venkatesh
IEEE Transactions on Multimedia 4 (4), 472-481, 2002
1432002
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Articles 1–20