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» Domain Independent Generative Modeling
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ICASSP
2008
IEEE
14 years 2 months ago
Image inpainting with a wavelet domain Hidden Markov tree model
We present a novel technique for image inpainting, the problem of filling-in missing image parts. Image inpainting is ill-posed and we adopt a probabilistic model-based approach ...
George Papandreou, Petros Maragos, Anil Kokaram
TSMC
2010
13 years 2 months ago
A Benchmark Diagnostic Model Generation System
Abstract--It is critical to use automated generators for synthetic models and data, given the sparsity of benchmark models for empirical analysis and the cost of generating models ...
Jun Wang, Gregory M. Provan
ICML
2007
IEEE
14 years 8 months ago
Dynamic hierarchical Markov random fields and their application to web data extraction
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
EMNLP
2007
13 years 9 months ago
Exploiting Multi-Word Units in History-Based Probabilistic Generation
We present a simple history-based model for sentence generation from LFG f-structures, which improves on the accuracy of previous models by breaking down PCFG independence assumpt...
Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Jose...
ATAL
2007
Springer
14 years 1 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...