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CSDA
2007
114views more  CSDA 2007»
13 years 9 months ago
Relaxed Lasso
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
Nicolai Meinshausen
TIP
2008
144views more  TIP 2008»
13 years 9 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
TSP
2008
89views more  TSP 2008»
13 years 9 months ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
JMLR
2010
147views more  JMLR 2010»
13 years 4 months ago
Image Denoising with Kernels Based on Natural Image Relations
A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
AAAI
2012
12 years 1 days ago
Discovering Spammers in Social Networks
As the popularity of the social media increases, as evidenced in Twitter, Facebook and China’s Renren, spamming activities also picked up in numbers and variety. On social netwo...
Yin Zhu, Xiao Wang, ErHeng Zhong, Nathan Nan Liu, ...