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» A Stochastic Grammar of Images
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IJCV
2000
164views more  IJCV 2000»
13 years 7 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
ICDAR
2009
IEEE
13 years 5 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...

Book
361views
15 years 4 months ago
Introduction to Statistical Signal Processing
"A random or stochastic process is a mathematical model for a phenomenon that evolves in time in an unpredictable manner from the viewpoint of the observer. The phenomenon m...
R.M. Gray
ICCV
2009
IEEE
15 years 16 days ago
Finding Good Composition in Panoramic Scenes
We introduce a new problem of automatic photo composition, and present an effective technique for finding good views within a panoramic scene. Instead of applying heuristic rule...
Yuan-Yang Chang, Hwann-Tzong Chen
ICASSP
2009
IEEE
14 years 2 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe