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SIAMIS
2011
14 years 7 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
130
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IALP
2010
14 years 7 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...
125
Voted
JSS
2010
120views more  JSS 2010»
14 years 7 months ago
Handling communications in process algebraic architectural description languages: Modeling, verification, and implementation
Architectural description languages are a useful tool for modeling complex systems at a high level of abstraction. If based on formal methods, they can also serve for enabling the...
Marco Bernardo, Edoardo Bontà, Alessandro A...
121
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PROMISE
2010
14 years 7 months ago
Modeling the relationship between software effort and size using deming regression
Background: The relation between software effort and size has been modeled in literature as exponential, in the sense that the natural logarithm of effort is expressed as a linear...
Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Arg...
120
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AAAI
2011
14 years 25 days ago
Modeling and Monitoring Crop Disease in Developing Countries
Information about the spread of crop disease is vital in developing countries, and as a result the governments of such countries devote scarce resources to gathering such data. Un...
John Alexander Quinn, Kevin Leyton-Brown, Ernest M...