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» Approximate Probabilistic Model Checking
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TASLP
2008
105views more  TASLP 2008»
13 years 7 months ago
Optimizing the Performance of Spoken Language Recognition With Discriminative Training
The performance of spoken language recognition system is typically formulated to reflect the detection cost and the strategic decision points along the detection-error-tradeoff cur...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ECCV
2010
Springer
14 years 24 days ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
ICS
2010
Tsinghua U.
14 years 5 months ago
Market Equilibrium under Separable, Piecewise-Linear, Concave Utilities
We consider Fisher and Arrow-Debreu markets under additively-separable, piecewise-linear, concave utility functions, and obtain the following results: ? For both market models, if...
Vijay V. Vazirani, Mihalis Yannakakis
CAV
2004
Springer
96views Hardware» more  CAV 2004»
14 years 1 months ago
Widening Arithmetic Automata
Model checking of infinite state systems is undecidable, therefore, there are instances for which fixpoint computations used in infinite state model checkers do not converge. Gi...
Constantinos Bartzis, Tevfik Bultan