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CVPR
2005
IEEE
15 years 6 days ago
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha ...
ECCV
2002
Springer
15 years 1 days ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
CSCWD
2007
Springer
14 years 4 months ago
An Integration Life Cycle for Semantic Web Services Composition
Business applications are more and more often developed on the basis of Web services. The aim is to provide platform independence and loose coupling between business applications ...
Muhammad Ahtisham Aslam, Jun Shen, Sören Auer...
ISVC
2007
Springer
14 years 4 months ago
Gradient-Based Hand Tracking Using Silhouette Data
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
Paris Kaimakis, Joan Lasenby
SENSYS
2006
ACM
14 years 4 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...