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» On-Line Classification of Human Activities
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TIP
2010
119views more  TIP 2010»
13 years 4 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
CHI
2008
ACM
14 years 10 months ago
Activity-based prototyping of ubicomp applications for long-lived, everyday human activities
We designed an activity-based prototyping process realized in the ActivityDesigner system that combines the theoretical framework of Activity-Centered Design with traditional iter...
Yang Li, James A. Landay
BMCBI
2010
183views more  BMCBI 2010»
13 years 10 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
ICIP
2004
IEEE
14 years 11 months ago
Multi-label SVM active learning for image classification
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
Xuchun Li, Lei Wang, Eric Sung
CVPR
2010
IEEE
14 years 5 months ago
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoul...