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picture1_Computer Science Thesis Pdf 194470 | 246 Icmlpaper


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File: Computer Science Thesis Pdf 194470 | 246 Icmlpaper
Minimal Loss Hashing for Compact Binary Codes Mohammad Norouzi norouzi@cs.toronto.edu David J. Fleet fleet@cs.toronto.edu Department of Computer Science, University of Toronto, Canada Abstract high-dimensional inputs, x ...

icon picture PDF Filetype PDF | Posted on 06 Feb 2023 | 2 years ago
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...Minimal loss hashing for compact binary codes mohammad norouzi cs toronto edu david j fleet department of computer science university canada abstract high dimensional inputs x rp onto h q which preserves some notion wepropose a method learning similarity the canonical approach assumes centered preserving hash functions that map mean subtracted linear projection and bi data nary quantization such parameter formulation is based on structured predic ized by w rq p are given tion with latent variables hinge like function it ecient to train large b thr wx datasets scales well code lengths where vec ith bit vector outperforms state art methods i element positive in th other words row determines introduction terms hyperplane input space assigned points one side approximate nearest neighbor ann search used widely vision exam random projections lsh indyk mot ple has been content retrieval egou wani charikar related ra et al object recognition lowe hu ginsky lazebnik they dataset indepen man pos...
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