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» A Probabilistic Approach to Predict Peers
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CVPR
2010
IEEE
14 years 3 months ago
Scalable Active Matching
In matching tasks in computer vision, and particularly in real-time tracking from video, there are generally strong priors available on absolute and relative correspondence locati...
Ankur Handa, Margarita Chli, Hauke Strasdat, Andre...
DIALM
2007
ACM
144views Algorithms» more  DIALM 2007»
13 years 11 months ago
Reliable Local Broadcast in a Wireless Network Prone to Byzantine Failures
Reliable broadcast can be a very useful primitive for many distributed applications, especially in the context of sensoractuator networks. Recently, the issue of reliable broadcas...
Vartika Bhandari, Nitin H. Vaidya
AAAI
2011
12 years 7 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
KAIS
2008
221views more  KAIS 2008»
13 years 7 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 7 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...