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ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
16 years 24 days ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
SIAMJO
2010
87views more  SIAMJO 2010»
15 years 1 months ago
Universal Rigidity and Edge Sparsification for Sensor Network Localization
Owing to their high accuracy and ease of formulation, there has been great interest in applying convex optimization techniques, particularly that of semidefinite programming (SDP)...
Zhisu Zhu, Anthony Man-Cho So, Yinyu Ye
CVPR
2012
IEEE
13 years 9 months ago
Image matching using local symmetry features
We present a new technique for extracting local features from images of architectural scenes, based on detecting and representing local symmetries. These new features are motivate...
Daniel Cabrini Hauagge, Noah Snavely
ICPR
2008
IEEE
16 years 1 months ago
Iris localization based on multi-resolution analysis
Iris localization is an especially important step in the whole iris recognition system, for it determines the accuracy of matching partially. To improve its accuracy and efficienc...
Lili Pan, Mei Xie, Zheng Ma
ECCV
2010
Springer
15 years 9 months ago
Face Image Relighting using Locally Constrained Global Optimization
A face image relighting method using locally constrained global optimization is presented in this paper. Based on the empirical fact that common radiance environments are locally h...