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» Learning and Inference with Constraints
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HOTNETS
2010
13 years 4 months ago
Diagnosing mobile applications in the wild
There are a lot of applications that run on modern mobile operating systems. Inevitably, some of these applications fail in the hands of users. Diagnosing a failure to identify the...
Sharad Agarwal, Ratul Mahajan, Alice Zheng, Victor...
SIAMIS
2010
378views more  SIAMIS 2010»
13 years 4 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ICASSP
2011
IEEE
13 years 1 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
PLDI
2011
ACM
13 years 22 days ago
Isolating and understanding concurrency errors using reconstructed execution fragments
In this paper we propose Recon, a new general approach to concurrency debugging. Recon goes beyond just detecting bugs, it also presents to the programmer short fragments of buggy...
Brandon Lucia, Benjamin P. Wood, Luis Ceze
RECOMB
2011
Springer
13 years 22 days ago
Rich Parameterization Improves RNA Structure Prediction
Motivation. Current approaches to RNA structure prediction range from physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, to machin...
Shay Zakov, Yoav Goldberg, Michael Elhadad, Michal...