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» Detecting Motifs from Sequences
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CHI
2009
ACM
15 years 10 months ago
Using temporal patterns (t-patterns) to derive stress factors of routine tasks
We describe the use of a statistical technique called Tpattern analysis to derive and characterize the routineness of tasks. T-patterns provide significant advantages over traditi...
Oliver Brdiczka, Norman Makoto Su, Bo Begole
CHI
2002
ACM
15 years 10 months ago
LAFCam: Leveraging affective feedback camcorder
If a video camera recognizes and records affective data from the camera operator, this data can help determine which sequences will be interesting to the camera operator at a late...
Andrea Lockerd, Florian Mueller
CVPR
2010
IEEE
15 years 6 months ago
Efficient Action Spotting based on a Spacetime Oriented Structure Representation
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of...
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca...
ICASSP
2009
IEEE
15 years 4 months ago
Dynamic texture models of music
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to t...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
15 years 4 months ago
Global action selection for illumination invariant color modeling
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
Mohan Sridharan, Peter Stone