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ICASSP
2008
IEEE
15 years 4 months ago
Query by humming of midi and audio using locality sensitive hashing
This paper proposes a query by humming method based on locality sensitive hashing (LSH). The method constructs an index of melodic fragments by extracting pitch vectors from a dat...
Matti Ryynänen, Anssi Klapuri
PAMI
2006
132views more  PAMI 2006»
14 years 9 months ago
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
We propose a new method for rapid 3D object indexing that combines feature-based methods with coarse alignment-based matching techniques. Our approach achieves a sublinear complexi...
Bogdan Matei, Ying Shan, Harpreet S. Sawhney, Yi T...
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 3 days ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
CIKM
2008
Springer
14 years 11 months ago
Modeling LSH for performance tuning
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
COMPGEOM
2006
ACM
15 years 3 months ago
Lower bounds on locality sensitive hashing
Given a metric space (X, dX), c ≥ 1, r > 0, and p, q ∈ [0, 1], a distribution over mappings H : X → N is called a (r, cr, p, q)-sensitive hash family if any two points in...
Rajeev Motwani, Assaf Naor, Rina Panigrahy