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ICASSP
2008
IEEE
16 years 13 days 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»
15 years 5 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 8 months 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
15 years 8 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 12 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