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ICCV
2005
IEEE
15 years 3 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
ICCS
2003
Springer
15 years 3 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat
83
Voted
ECSQARU
2009
Springer
15 years 2 months ago
Inference from Multinomial Data Based on a MLE-Dominance Criterion
We consider the problem of inference from multinomial data with chances θ, subject to the a-priori information that the true parameter vector θ belongs to a known convex polytope...
Alessio Benavoli, Cassio P. de Campos
91
Voted
SIGMETRICS
2000
ACM
15 years 2 months ago
An analytical model of the working-set sizes in decision-support systems
This paper presents an analytical model to study how working sets scale with database size and other applications parameters in decision-support systems (DSS). The model uses appl...
Magnus Karlsson, Per Stenström
VISUALIZATION
1997
IEEE
15 years 2 months ago
Image synthesis from a sparse set of views
We present an image synthesis methodology and a system built around it. Given a sparse set of photographs taken from unknown viewpoints, the system generates images from new, diff...
Qian Chen, Gérard G. Medioni