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» Applying Monte Carlo Techniques to Language Identification
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92
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CVPR
2004
IEEE
15 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
DFT
2006
IEEE
120views VLSI» more  DFT 2006»
15 years 3 months ago
On-Line Mapping of In-Field Defects in Image Sensor Arrays
Continued increase in complexity of digital image sensors means that defects are more likely to develop in the field, but little concrete information is available on in-field defe...
Jozsef Dudas, Cory Jung, Linda Wu, Glenn H. Chapma...
75
Voted
WSC
2004
14 years 10 months ago
Function-Approximation-Based Importance Sampling for Pricing American Options
Monte Carlo simulation techniques that use function approximations have been successfully applied to approximately price multi-dimensional American options. However, for many pric...
Nomesh Bolia, Sandeep Juneja, Paul Glasserman
73
Voted
SIAMNUM
2010
96views more  SIAMNUM 2010»
14 years 4 months ago
A Stochastic Algorithm for Parametric Sensitivity in Smoluchowski's Coagulation Equation
Abstract. In this article a stochastic particle system approximation to the parametric sensitivity in the Smoluchowski coagulation equation is introduced. The parametric sensitivit...
Ismaël F. Bailleul, Peter L. W. Man, Markus K...
ACL
2009
14 years 7 months ago
Unsupervised Multilingual Grammar Induction
We investigate the task of unsupervised constituency parsing from bilingual parallel corpora. Our goal is to use bilingual cues to learn improved parsing models for each language ...
Benjamin Snyder, Tahira Naseem, Regina Barzilay