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» Input Modeling Using Quantile Statistical Methods
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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 28 days ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
107
Voted
ICCD
2001
IEEE
124views Hardware» more  ICCD 2001»
15 years 9 months ago
High-Level Power Modeling of CPLDs and FPGAs
In this paper, we present a high-level power modeling technique to estimate the power consumption of reconfigurable devices such as complex programmable logic devices (CPLDs) and ...
Li Shang, Niraj K. Jha
ICB
2009
Springer
412views Biometrics» more  ICB 2009»
15 years 7 months ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li
ICIP
2005
IEEE
15 years 6 months ago
Two-step variance-adaptive image denoising
Abstract— In this paper, we describe a two-step varianceadaptive method for image denoising based on a statistical model of the coefficients of balanced multiwavelet transform. ...
Lahouari Ghouti, Ahmed Bouridane
110
Voted
ICIP
1998
IEEE
15 years 5 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli