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» Selectivity Estimation using Probabilistic Models
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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 1 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...
ECCV
1998
Springer
16 years 1 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
BMCBI
2008
139views more  BMCBI 2008»
14 years 12 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
AAAI
2000
15 years 1 months ago
Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm
Selecting the right word translation among several options in the lexicon is a core problem for machine translation. We present a novel approach to this problem that can be traine...
Philipp Koehn, Kevin Knight
AAAI
1990
15 years 1 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford