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IJCAI
2003
13 years 10 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
CVPR
2010
IEEE
13 years 9 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
CVPR
1999
IEEE
14 years 11 months ago
Panoramic EPI Generation and Analysis of Video from a Moving Platform with Vibration
This paper presents a novel approach for generating and analyzing epipolar plane images (EPIs) from video sequences taken from a moving platform subject to vibration so that the 3...
Zhigang Zhu, Guangyou Xu, Xueyin Lin
ICCV
2005
IEEE
14 years 2 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
ASE
2008
120views more  ASE 2008»
13 years 9 months ago
Requirements model generation to support requirements elicitation: the Secure Tropos experience
In the last years several efforts have been devoted by researchers in the Requirements Engineering community to the development of methodologies for supporting designers during req...
Nadzeya Kiyavitskaya, Nicola Zannone