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» Hierarchical Hidden Markov Models for Information Extraction
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 11 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
ISBI
2002
IEEE
16 years 2 months ago
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models
In this paper we summarize our results for two classes of hierarchical multi-scale models that exploit contextual information for detection of structure in mammographic imagery. T...
Paul Sajda, Clay Spence, Lucas C. Parra
ICIP
2006
IEEE
15 years 7 months ago
Modelization of Limb Coordination for Human Action Analysis
This paper analyzes the movements of the human body limbs (hands, feet and head) and center of gravity in order to detect simple actions such as walking, jumping and displacing an...
Kosta Gaitanis, Pedro Correa, Benoit M. Macq
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 1 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
AAAI
2006
15 years 2 months ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen