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» Hierarchical Hidden Markov Models for Information Extraction
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MVA
2007
207views Computer Vision» more  MVA 2007»
15 years 2 months ago
View-invariant Human Action Recognition Based on Factorization and HMMs
of the fundamental challenges of human action recognition is accounting for the variability that arises during video capturing. For a specific action class, the 2D observations of...
Xi Li, Kazuhiro Fukui
JMLR
2010
185views more  JMLR 2010»
14 years 8 months ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto
ACL
2010
14 years 11 months ago
Collocation Extraction beyond the Independence Assumption
In this paper we start to explore two-part collocation extraction association measures that do not estimate expected probabilities on the basis of the independence assumption. We ...
Gerlof Bouma
ICANN
2005
Springer
15 years 7 months ago
Implicit Relevance Feedback from Eye Movements
We explore the use of eye movements as a source of implicit relevance feedback information. We construct a controlled information retrieval experiment where the relevance of each t...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
AAAI
2004
15 years 2 months ago
Interactive Information Extraction with Constrained Conditional Random Fields
Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...