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» Selectivity Estimation using Probabilistic Models
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ICCV
1998
IEEE
16 years 1 months ago
A Probabilistic Framework for Edge Detection and Scale Selection
We devise a statistical framework for edge detection by performing a statistical analysis of zero crossings of the second derivative of an image. This analysis enables us to estim...
David H. Marimont, Yossi Rubner
ECCV
2004
Springer
16 years 1 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
ACL
1994
15 years 29 days ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
ICCV
1998
IEEE
16 years 1 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...
ICPR
2006
IEEE
16 years 22 days ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar