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» Self-taught hashing for fast similarity search
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CVPR
2008
IEEE
14 years 7 months ago
Fast image search for learned metrics
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
Prateek Jain, Brian Kulis, Kristen Grauman
ICMCS
2006
IEEE
188views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Large-Scale Duplicate Detection for Web Image Search
Finding visually identical images in large image collections is important for many applications such as intelligence propriety protection and search result presentation. Several a...
Bin Wang, Zhiwei Li, Mingjing Li, Wei-Ying Ma
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
SACRYPT
2007
Springer
151views Cryptology» more  SACRYPT 2007»
13 years 11 months ago
Collisions for 70-Step SHA-1: On the Full Cost of Collision Search
The diversity of methods for fast collision search in SHA-1 and similar hash functions makes a comparison of them difficult. The literature is at times very vague on this issue, wh...
Christophe De Cannière, Florian Mendel, Chr...
EMNLP
2010
13 years 2 months ago
Hashing-Based Approaches to Spelling Correction of Personal Names
We propose two hashing-based solutions to the problem of fast and effective personal names spelling correction in People Search applications. The key idea behind our methods is to...
Raghavendra Udupa, Shaishav Kumar