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lsh
lsh is a free software implementation of the Secure Shell (SSH) protocol version 2, by the GNU Project including both server and client programs…
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Client (computing)
Comparison of SSH clients
Comparison of SSH servers
Debian
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
PM-LSH
Bolong Zheng
,
Xi Zhao
,
Lianggui Weng
,
Nguyen Quoc Viet Hung
,
Hang Liu
,
Christian S. Jensen
Proceedings of the VLDB Endowment
2020
Corpus ID: 210976907
Nearest neighbor (NN) search in high-dimensional spaces is inherently computationally expensive due to the curse of…
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Highly Cited
2019
Highly Cited
2019
An Encrypted Image Retrieval Method Based on Harris Corner Optimization and LSH in Cloud Computing
Jiaohua Qin
,
Hao Li
,
+4 authors
N. Xiong
IEEE Access
2019
Corpus ID: 71150906
The encrypted image retrieval in cloud computing is a key technology to realize the massive images of storage and management and…
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2019
2019
I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space
Wanqi Liu
,
Hanchen Wang
,
Ying Zhang
,
Wei Wang
,
Lu Qin
IEEE International Conference on Data Engineering
2019
Corpus ID: 174818872
Nearest Neighbor search has been well solved in low-dimensional space, but is challenging in high-dimensional space due to the…
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2018
2018
Norm-Ranging LSH for Maximum Inner Product Search
Xiao Yan
,
Jinfeng Li
,
XINYAN DAI
,
Hongzhi Chen
,
James Cheng
Neural Information Processing Systems
2018
Corpus ID: 52813416
Neyshabur and Srebro proposed SIMPLE-LSH, which is the state-of-the-art hashing based algorithm for maximum inner product search…
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Highly Cited
2016
Highly Cited
2016
Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU
P. Wieschollek
,
Oliver Wang
,
A. Sorkine-Hornung
,
H. Lensch
Computer Vision and Pattern Recognition
2016
Corpus ID: 380003
We present a new approach for efficient approximate nearest neighbor (ANN) search in high dimensional spaces, extending the idea…
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Highly Cited
2015
Highly Cited
2015
Cluster-discovery of Twitter messages for event detection and trending
Shakira Banu Kaleel
,
A. Abhari
Journal of Computer Science
2015
Corpus ID: 9093108
Highly Cited
2014
Highly Cited
2014
Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS)
Anshumali Shrivastava
,
Ping Li
Conference on Uncertainty in Artificial…
2014
Corpus ID: 14764576
Recently it was shown that the problem of Maximum Inner Product Search (MIPS) is efficient and it admits provably sub-linear…
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Highly Cited
2012
Highly Cited
2012
Fast Matching of Binary Features
Marius Muja
,
D. Lowe
Ninth Conference on Computer and Robot Vision
2012
Corpus ID: 3036002
There has been growing interest in the use of binary-valued features, such as BRIEF, ORB, and BRISK for efficient local feature…
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Highly Cited
2008
Highly Cited
2008
Online Metric Learning and Fast Similarity Search
Prateek Jain
,
Brian Kulis
,
I. Dhillon
,
K. Grauman
Neural Information Processing Systems
2008
Corpus ID: 6237022
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good…
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Highly Cited
2004
Highly Cited
2004
An efficient parts-based near-duplicate and sub-image retrieval system
Yan Ke
,
R. Sukthankar
,
Larry Huston
MULTIMEDIA '04
2004
Corpus ID: 16694322
We introduce a system for near-duplicate detection and sub-image retrieval. Such a system is useful for finding copyright…
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