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ICML
2005
IEEE
14 years 7 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
IPMI
2003
Springer
14 years 7 months ago
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implici...
John W. Fisher III, Lilla Zöllei, William M. ...
CLEF
2008
Springer
13 years 8 months ago
Exploiting Term Co-occurrence for Enhancing Automated Image Annotation
This paper describes an application of statistical co-occurrence techniques that built on top of a probabilistic image annotation framework is able to increase the precision of an ...
Ainhoa Llorente, Simon E. Overell, Haiming Liu 000...
IFIP12
2007
13 years 7 months ago
Semantic Multimedia Analysis based on Region Types and Visual Context
In this paper previous work on the detection of high-level concepts within multimedia documents is extended by introducing a mid-level ontology as a means of exploiting the visual ...
Evaggelos Spyrou, Phivos Mylonas, Yannis S. Avrith...
ICIP
2009
IEEE
14 years 7 months ago
Combining Multimodal And Temporal Contextual Information For Semantic Video Analysis
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...