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» Not a Number of Floating Point Problems
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CVPR
2010
IEEE
15 years 11 months ago
Parametric Dimensionality Reduction by Unsupervised Regression
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...
Miguel Carreira-perpinan, Zhengdong Lu
PKC
2001
Springer
111views Cryptology» more  PKC 2001»
15 years 8 months ago
Cryptanalysis of PKP: A New Approach
Quite recently, in [4], a new time-memory tradeoff algorithm was presented. The original goal of this algorithm was to count the number of points on an elliptic curve, however, th...
Éliane Jaulmes, Antoine Joux
CVPR
2006
IEEE
16 years 5 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
154
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 5 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
102
Voted
CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 3 months ago
Perturbation Resilience and Superiorization of Iterative Algorithms
Iterative algorithms aimed at solving some problems are discussed. For certain problems, such as finding a common point in the intersection of a finite number of convex sets, there...
Yair Censor, R. Davidi, Gabor T. Herman