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MM
2010
ACM
137views Multimedia» more  MM 2010»
13 years 8 months ago
Unsupervised summarization of rushes videos
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre...
RECSYS
2010
ACM
13 years 8 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
AHSWN
2010
130views more  AHSWN 2010»
13 years 8 months ago
How Good is Opportunistic Routing? - A Reality Check under Rayleigh Fading Channels
Considerations of realistic channel dynamics motivate the design of a new breed of opportunistic schemes, such as opportunistic transmission, scheduling and routing. Compared to t...
Rong Zheng, Chengzhi Li
SIGECOM
2008
ACM
144views ECommerce» more  SIGECOM 2008»
13 years 8 months ago
Incentives for expressing opinions in online polls
Prediction markets efficiently extract and aggregate the private information held by individuals about events and facts that can be publicly verified. However, facts such as the e...
Radu Jurca, Boi Faltings
TCSV
2008
202views more  TCSV 2008»
13 years 8 months ago
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph
Object tracking is one of the fundamental problems in computer vision and has received considerable attention in the past two decades. The success of a tracking algorithm relies on...
Feng Tang, Hai Tao