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» A Stochastic Grammar of Images
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ICIP
2004
IEEE
14 years 9 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
ICCV
2005
IEEE
14 years 1 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
ICML
2001
IEEE
14 years 8 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
ICVGIP
2004
13 years 9 months ago
Robust Segmentation of Unconstrained Online Handwritten Documents
A segmentation algorithm, which can detect different regions of a handwritten document such as text lines, tables and sketches will be extremely useful in a variety of application...
Anoop M. Namboodiri, Anil K. Jain
ACL
1997
13 years 9 months ago
A DOP Model for Semantic Interpretation
In data-oriented language processing, an annotated language corpus is used as a stochastic grammar. The most probable analysis of a new sentence is constructed by combining fragme...
Remko Bonnema, Rens Bod, Remko Scha