ACM Computing Surveys (CSUR)
Neural Networks
Refining Initial Points for K-Means Clustering
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
SBRN '02 Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN'02)
An efficient law-of-cosine-based search for vector quantization
Pattern Recognition Letters
Fast codebook search algorithms based on tree-structured vector quantization
Pattern Recognition Letters
An adaptive incremental LBG for vector quantization
Neural Networks
An evolution-based tabu search approach to codebook design
Pattern Recognition
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
Linearly constrained generalized Lloyd algorithm for reducedcodebook vector quantization
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Progressive scalable interactive region-of-interest image coding using vector quantization
IEEE Transactions on Multimedia
A fast exact GLA based on code vector activity detection
IEEE Transactions on Image Processing
An efficient encoding algorithm for vector quantization based on subvector technique
IEEE Transactions on Image Processing
Adaptive vector quantization with codebook updating based on locality and history
IEEE Transactions on Image Processing
Variable-branch tree-structured vector quantization
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Fast-searching algorithm for vector quantization using projection and triangular inequality
IEEE Transactions on Image Processing
Fast vector quantization algorithms based on nearest partition set search
IEEE Transactions on Image Processing
Fast Planar-Oriented Ripple Search Algorithm for Hyperspace VQ Codebook
IEEE Transactions on Image Processing
Proceedings of the 2011 International Conference on Communication, Computing & Security
Image retrieval based on GA integrated color vector quantization and curvelet transform
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
PREACO: A fast ant colony optimization for codebook generation
Applied Soft Computing
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In this paper, we present a simple but fast codebook generation algorithm, called PREGLA (Pattern Reduction Enhanced GLA). The proposed algorithm is fundamentally different from the previous approaches in that the previous approaches focus on reducing the size of the codebook whereas the proposed algorithm focuses on using pattern reduction to reduce the computation time. The proposed algorithm is motivated by the observation that input vectors that are ''static'' during the training process can be considered as part of the final solutions and thus can be compressed and removed to eliminate the redundant computations at the later iterations of the training process. To evaluate the performance of the proposed algorithm, we compare the proposed algorithm with ''efficient'' state-of-the-art GLA or GLA-based algorithms such as Codeword Displacement, Nearest Partition Set Search, Fast Vector Quantization Algorithm, Law of Cosines, and standard GLA. Our experimental results indicate that the proposed algorithm can reduce the computation time from 29.45% up to about 77.98% compared to those of standard GLA and other fast GLA-based algorithms alone.