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One Permutation Hashing for Efficient Search and Learning
Permutation Hashing Efficient Search Learning
2012/9/18
Minwise hashing is a standard procedure in the context of search, for efficiently estimating set similari-ties in massive binary data such as text. Recently, the method ofb-bit minwise hashing has bee...
In this paper, we first demonstrate that b-bit minwise hashing, whose estimators are positive definite kernels, can be naturally integrated with learning algorithms such as SVM and logistic regression...
Linear1 Support Vector Machines (e.g., SVMperf, Pegasos,
LIBLINEAR) are powerful and extremely efficient classification
tools when the datasets are very large and/or highdimensional,
which is commo...