[图书][B] Multisensor data fusion

D Hall, J Llinas - 2001 - taylorfrancis.com
The emerging technology of multisensor data fusion has a wide range of applications, both
in Department of Defense (DoD) areas and in the civilian arena. The techniques of …

Index-driven similarity search in metric spaces (survey article)

GR Hjaltason, H Samet - ACM Transactions on Database Systems …, 2003 - dl.acm.org
Similarity search is a very important operation in multimedia databases and other database
applications involving complex objects, and involves finding objects in a data set S similar to …

A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements

ML Micó, J Oncina, E Vidal - Pattern Recognition Letters, 1994 - Elsevier
Abstract The Approximating and Eliminating Search Algorithm (AESA) can currently be
considered as one of the most efficient procedures for finding Nearest Neighbours in Metric …

Vector quantization of image subbands: A survey

PC Cosman, RM Gray, M Vetterli - IEEE Transactions on image …, 1996 - ieeexplore.ieee.org
Subband and wavelet decompositions are powerful tools in image coding because of their
decorrelating effects on image pixels, the concentration of energy in a few coefficients, their …

A fast branch & bound nearest neighbour classifier in metric spaces

L Micó, J Oncina, RC Carrasco - Pattern Recognition Letters, 1996 - Elsevier
The recently introduced algorithm LAESA finds the nearest neighbour prototype in a metric
space. The average number of distances computed in the algorithm does not depend on the …

Classifier combination for hand-printed digit recognition

M Sabourin, A Mitiche, D Thomas… - Proceedings of 2nd …, 1993 - ieeexplore.ieee.org
Independent decisions by two high performance nearest-neighbor hand-printed digit
classifiers are combined in a principled manner. Three combination methods are …

New formulation and improvements of the nearest-neighbour approximating and eliminating search algorithm (AESA)

E Vidal - Pattern Recognition Letters, 1994 - Elsevier
Abstract Recently, the Approximating and Eliminating Search Algorithm (AESA) was
introduced to search for Nearest Neighbours in asymptotically constant average time …

A fast search algorithm for vector quantization using mean pyramids of codewords

CH Lee, LH Chen - IEEE Transactions on communications, 1995 - ieeexplore.ieee.org
One of the most serious problems for vector quantization, especially for high dimensional
vectors, is the high computational complexity of searching for the closest codeword in the …

U-measure: a quality measure for multiobjective programming

YW Leung, Y Wang - IEEE Transactions on Systems, Man, and …, 2003 - ieeexplore.ieee.org
A multiobjective programming algorithm may find multiple nondominated solutions. If these
solutions are scattered more uniformly over the Pareto frontier in the objective space, they …

Adaptive optical music recognition

I Fujinaga - 1996 - escholarship.mcgill.ca
The basic goal of the Aclaptive Optical Music Recognition system presented herein is to
create an adaptive software for the recognition of musical notation. The focus of this …