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» Randomness and the linear degrees of computability
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CVPR
2007
IEEE
16 years 1 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
CVPR
2004
IEEE
16 years 1 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
CVPR
2008
IEEE
16 years 1 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
BIRTHDAY
2012
Springer
13 years 7 months ago
Masking with Randomized Look Up Tables - Towards Preventing Side-Channel Attacks of All Orders
We propose a new countermeasure to protect block ciphers implemented in leaking devices, at the intersection between One-Time Programs and Boolean masking schemes. First, we show t...
François-Xavier Standaert, Christophe Petit...
VTS
1995
IEEE
94views Hardware» more  VTS 1995»
15 years 3 months ago
Synthesis of locally exhaustive test pattern generators
Optimized locally exhaustive test pattern generators based on linear sums promise a low overhead, but have an irregular structure. The paper presents a new algorithm able to compu...
Günter Kemnitz