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SIAMIS
2008
279views more  SIAMIS 2008»
15 years 3 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 2 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
122
Voted
ICML
2008
IEEE
16 years 4 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
135
Voted
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 8 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
3DPVT
2002
IEEE
219views Visualization» more  3DPVT 2002»
15 years 8 months ago
A Multi-Resolution Scheme ICP Algorithm for Fast Shape Registration
The iterative closest point (ICP) algorithm is widely used for the registration of geometric data. One of its main drawbacks is its quadratic time complexity O(N2 ) with the shape...
Timothée Jost, Heinz Hügli