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» Input Modeling Using Quantile Statistical Methods
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CVPR
2008
IEEE
14 years 9 months ago
Estimating camera response functions using probabilistic intensity similarity
We propose a method for estimating camera response functions using a probabilistic intensity similarity measure. The similarity measure represents the likelihood of two intensity ...
Jun Takamatsu, Yasuyuki Matsushita, Katsushi Ikeuc...
EMNLP
2011
12 years 7 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
LCPC
2004
Springer
14 years 1 months ago
Phase-Based Miss Rate Prediction Across Program Inputs
Previous work shows the possibility of predicting the cache miss rate (CMR) for all inputs of a program. However, most optimization techniques need to know more than the miss rate ...
Xipeng Shen, Yutao Zhong, Chen Ding
ICPR
2000
IEEE
14 years 2 days ago
Statistical-Based Approach to Word Segmentation
Thispaper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document andpartitions the glyphs into ...
Yalin Wang, Robert M. Haralick, Ihsin T. Phillips
CSL
2010
Springer
13 years 6 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim