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» A Hidden Markov Model Information Retrieval System
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WWW
2007
ACM
14 years 9 months ago
Exploration of query context for information retrieval
A number of existing information retrieval systems propose the notion of query context to combine the knowledge of query and user into retrieval to reveal the most exact descripti...
Keke Cai, Chun Chen, Jiajun Bu, Peng Huang, Zhimin...
SOUPS
2009
ACM
14 years 3 months ago
Revealing hidden context: improving mental models of personal firewall users
The Windows Vista personal firewall provides its diverse users with a basic interface that hides many operational details. However, concealing the impact of network context on th...
Fahimeh Raja, Kirstie Hawkey, Konstantin Beznosov
ICASSP
2011
IEEE
13 years 20 days ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ICIP
2007
IEEE
14 years 10 months ago
Semantics-Based Video Indexing using a Stochastic Modeling Approach
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
Yong Wei, Suchendra M. Bhandarkar, Kang Li
ICTIR
2009
Springer
14 years 3 months ago
A Quantum-Based Model for Interactive Information Retrieval
Abstract Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it ...
Benjamin Piwowarski, Mounia Lalmas