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» A Probability Model for Combining Ranks
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CORR
2010
Springer
118views Education» more  CORR 2010»
14 years 6 months ago
Estimating Probabilities in Recommendation Systems
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
Mingxuan Sun, Guy Lebanon, Paul Kidwell
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 11 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
ICDT
2007
ACM
126views Database» more  ICDT 2007»
15 years 3 months ago
Combining Incompleteness and Ranking in Tree Queries
Abstract. In many cases, users may want to consider incomplete answers to their queries. Often, however, there is an overwhelming number of such answers, even if subsumed answers a...
Benny Kimelfeld, Yehoshua Sagiv
BMCBI
2007
125views more  BMCBI 2007»
14 years 9 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu
ICASSP
2011
IEEE
14 years 1 months ago
Multiple speaker tracking using a microphone array by combining auditory processing and a gaussian mixture cardinalized probabil
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...
Axel Plinge, Daniel Hauschildt, Marius H. Hennecke...