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IJCNN
2006
IEEE
15 years 10 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
147
Voted
ECCC
2008
98views more  ECCC 2008»
15 years 4 months ago
Public-Key Cryptosystems from the Worst-Case Shortest Vector Problem
We construct public-key cryptosystems that are secure assuming the worst-case hardness of approximating the minimum distance on n-dimensional lattices to within small poly(n) fact...
Chris Peikert
ICDE
1995
IEEE
98views Database» more  ICDE 1995»
16 years 5 months ago
Relational Database Compression Using Augmented Vector Quantization
Data compression is one way to alleviate the 1/0bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the ...
Wee Keong Ng, Chinya V. Ravishankar
ICIP
2000
IEEE
15 years 8 months ago
Vector Probability Diffusion
Minimal surface regularization has been used in several applications ranging from stereo to image segmentation, sometimes hidden as a graph-cut discrete formulation, or as a stric...
Alvaro Pardo, Guillermo Sapiro
ARITH
1999
IEEE
15 years 8 months ago
Digit-Recurrence Algorithm for Computing Euclidean Norm of a 3-D Vector
A digit-recurrence algorithm for computing the Euclidean norm of a 3-dimensional vector is proposed. Starting from the vector component with the highest order of magnitude as the ...
Naofumi Takagi, Seiji Kuwahara