Results 41 to 50 of about 178,882 (183)

Hybrid Architecture Model of Genetic Algorithm and Learning Vector Quantization Neural Network for Early Identification of Ear, Nose, and Throat Diseases

Journal of Information Systems Engineering and Business Intelligence
Background: In 2020, the World Health Organization (WHO) estimated that 466 million people worldwide are affected by hearing loss, with 34 million of them being children.
Cynthia Hayat, Iwan Aang Soenandi
doaj   +1 more source

Distributed Vector Quantization over Sensor Network

International Journal of Distributed Sensor Networks, 2014
A vector quantizer is a system for encoding the original data to reduce the bits needed for communication and storage saving while maintaining the necessary fidelity of the data.
Chunguang Li, Yiliang Luo
doaj   +1 more source

Bolt: Accelerated Data Mining with Fast Vector Compression

, 2017
Vectors of data are at the heart of machine learning and data mining. Recently, vector quantization methods have shown great promise in reducing both the time and space costs of operating on vectors.
Blalock, Davis W, Guttag, John V
core   +1 more source

ONLINE KERNEL AMGLVQ FOR ARRHYTHMIA HEARBEATS CLASSIFICATION

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2016
This study proposes Online Kernel Adaptive Multilayer Generalized Learning Vector Quantization (KAMGLVQ) for handling imbalanced data sets. KAMGLVQ is extended version of AMGLVQ that used kernel function to handling non-linear classification problems ...
Elly Matul Imah, R. Sulaiman
doaj   +1 more source

A Hybrid Quantum Encoding Algorithm of Vector Quantization for Image Compression

, 2006
Many classical encoding algorithms of Vector Quantization (VQ) of image compression that can obtain global optimal solution have computational complexity O(N).
Grover L K, Guo Guang-Can, Latorre J I, Li D F, Pang C Y, Pang C Y, Pang C Y, Pang C Y, Pang Chao-Yang, Ren H P, Yan W M, Zhou Zheng-Wei   +11 more
core   +1 more source

IMAGE COMPRESSION USING SELF-ORGANIZING FEATURE MAP AND WAVELET TRANSFORMATION [PDF]

ICTACT Journal on Image and Video Processing, 2012
In this paper, a new method of vector quantizer design for image compression using Generic codebook and wavelet transformation is proposed. In the proposed method, Self Organizing Feature Map (SOFM) is used for initial codebook generation.
G. Muthu Lakshmi, V. Sadasivam
doaj  

Weighted universal bit allocation: optimal multiple quantization matrix coding [PDF]

, 1995
We introduce a two-stage bit allocation algorithm analogous to the algorithm for weighted universal vector quantization (WUVQ). The encoder uses a collection of possible bit allocations (typically in the form of a collection of quantization matrices ...
Chou, P. A., Effros, M.
core  

Zero-Delay Rate Distortion via Filtering for Vector-Valued Gaussian Sources

, 2018
We deal with zero-delay source coding of a vector-valued Gauss-Markov source subject to a mean-squared error (MSE) fidelity criterion characterized by the operational zero-delay vector-valued Gaussian rate distortion function (RDF).
Charalambous, Charalambos D., Ostergaard, Jan, Stavrou, Photios A.   +2 more
core   +1 more source

Reference-Vector Removed Product Quantization for Approximate Nearest Neighbor Search

Applied Sciences
This paper proposes a decorrelation scheme based on product quantization, termed Reference-Vector Removed Product Quantization (RvRPQ), for approximate nearest neighbor (ANN) search.
Yang Wang, Ce Xu, Xueyi Wu
doaj   +1 more source

On the use of self-organizing maps to accelerate vector quantization

, 2004
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location or on neighbor ones on a predefined grid.
Anderberg, Bishop, de Bodt, Eric de Bodt, Kohonen, Kohonen, Linde, Lloyd, Marie Cottrell, Michel Verleysen, Patrick Letremy, Ritter   +11 more
core   +4 more sources