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108
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ISCA
2000
IEEE
111views Hardware» more  ISCA 2000»
15 years 7 months ago
HLS: combining statistical and symbolic simulation to guide microprocessor designs
As microprocessors continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models and sy...
Mark Oskin, Frederic T. Chong, Matthew K. Farrens
127
Voted
ICIAP
1999
ACM
15 years 7 months ago
Self-Training Statistic Snake for Image Segmentation and Tracking
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
3DIM
2001
IEEE
15 years 6 months ago
Reliable 3D Surface Acquisition, Registration and Validation Using Statistical Error Models
We present a complete data acquisition and processing chain for the reliable inspection of industrial parts considering anisotropic noise. Data acquisition is performed with a str...
Jens Guehring
113
Voted
COLING
2008
15 years 4 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
120
Voted
EMNLP
2007
15 years 4 months ago
A Systematic Comparison of Training Criteria for Statistical Machine Translation
We address the problem of training the free parameters of a statistical machine translation system. We show significant improvements over a state-of-the-art minimum error rate tr...
Richard Zens, Sasa Hasan, Hermann Ney