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CVPR
2004
IEEE
15 years 12 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
WWW
2009
ACM
15 years 10 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other use...
Andreas Lommatzsch, Christian Bauckhage, Jé...
CHI
2007
ACM
15 years 10 months ago
Dynamic detection of novice vs. skilled use without a task model
If applications were able to detect a user's expertise, then software could automatically adapt to better match expertise. Detecting expertise is difficult because a user...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
CHI
2006
ACM
15 years 10 months ago
Virtual rap dancer: invitation to dance
This paper presents a virtual rap dancer that is able to dance to the beat of music coming in from music recordings, beats obtained from music, voice or other input through a micr...
Dennis Reidsma, Anton Nijholt, Ronald Poppe, Rutge...
ICC
2008
IEEE
162views Communications» more  ICC 2008»
15 years 4 months ago
Distributed Opportunistic Scheduling in Multihop Wireless Ad Hoc Networks
Abstract—In this paper, we introduce a framework for distributed opportunistic scheduling in multihop wireless ad hoc networks. With the proposed framework, one can take a schedu...
Yijiang Sun, Victor O. K. Li, Ka-Cheong Leung
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