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» Sampling Techniques for Kernel Methods
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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
15 years 2 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
IMC
2010
ACM
14 years 7 months ago
Eyeball ASes: from geography to connectivity
This paper presents a new approach to determine the geographical footprint of individual Autonomous Systems that directly provide service to end-users, i.e.,eyeball ASes. The key ...
Amir H. Rasti, Nazanin Magharei, Reza Rejaie, Walt...
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
15 years 4 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
DELTA
2008
IEEE
15 years 4 months ago
Eigenspectra Palmprint Recognition
This paper introduces a novel technique for palmprint recognition on the transform domain, based on combining principle component analysis (PCA) and Fourier domain. Principal Comp...
Moussadek Laadjel, Ahmed Bouridane, Fatih Kurugoll...
GRAPHITE
2007
ACM
15 years 1 months ago
A shape hierarchy for 3D modelling from video
This paper describes an interactive method for generating a model of a scene from image data. The method uses the camera parameters and point cloud typically generated by structur...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...