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IUI
2009
ACM
14 years 5 months ago
Detecting and correcting user activity switches: algorithms and interfaces
The TaskTracer system allows knowledge workers to define a set of activities that characterize their desktop work. It then associates with each user-defined activity the set of ...
Jianqiang Shen, Jed Irvine, Xinlong Bao, Michael G...
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
14 years 2 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...
IJRR
2007
186views more  IJRR 2007»
13 years 8 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
SPIEVIP
2010
13 years 11 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
IJCAI
2003
13 years 10 months ago
Active Learning with Strong and Weak Views: A Case Study on Wrapper Induction
Multi-view learners reduce the need for labeled data by exploiting disjoint sub-sets of features (views), each of which is sufficient for learning. Such algorithms assume that eac...
Ion Muslea, Steven Minton, Craig A. Knoblock