Keyword

vector quantization

Description: Vector quantization is a signal-processing method that represents groups of numerical values using selected representative vectors, often for data compression.

Primary topic: Advanced Data Compression Techniques (38%)

Wikidata ID: wiki/Q612536

OpenAlex ID: keywords/vector-quantization

Vector Quantization and Signal Compression

1992 · Allen Gersho, Robert M. Gray · Springer eBooks · 7,009

Video Google: a text retrieval approach to object matching in videos

2003 · Sivic, Zisserman · IEEE International Conference on Computer Vision (ICCV) · 6,366

The Earth Mover's Distance as a Metric for Image Retrieval

2000 · Yossi Rubner, Carlo Tomasi, et al. · International Journal of Computer Vision · 4,576

Visual categorization with bags of keypoints

2004 · G. Csurka · 4,379

Image coding using wavelet transform

1992 · M. Antonini, M. Barlaud, et al. · IEEE Transactions on Image Processing · 3,528

Linear spatial pyramid matching using sparse coding for image classification

2009 · Jianchao Yang, Kai Yu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2,897

Vector Quantization

1984 · Robert M. Gray · Elsevier eBooks · 2,844

PDF

Neural Discrete Representation Learning

2017 · Oord, Aaron van den, Vinyals, Oriol, et al. · arXiv (Cornell University) · 2,728

PDF

A Growing Neural Gas Network Learns Topologies

1994 · Bernd Fritzke · 1,678

Nonlinear neural networks: Principles, mechanisms, and architectures

1988 · Stephen Grossberg · Neural Networks · 1,625

Essentials of the self-organizing map

2012 · Teuvo Kohonen · Neural Networks · 1,611

'Neural-gas' network for vector quantization and its application to time-series prediction

1993 · T.M. Martinetz, S.G. Berkovich, et al. · IEEE Transactions on Neural Networks · 1,431

Computational Methods of Feature Selection

2007 · Chapman & Hall/CRC eBooks · 1,283

Recognizing human action in time-sequential images using hidden Markov model

2003 · J. Yamato, J. Ohya, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,273

Growing cell structures—A self-organizing network for unsupervised and supervised learning

1994 · Bernd Fritzke · Neural Networks · 1,271

VideoBERT: A Joint Model for Video and Language Representation Learning

2019 · Chen Sun, Austin Myers, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 1,207

PDF

Learning mid-level features for recognition

2010 · Y-Lan Boureau, Francis Bach, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,069

Subband coding of images

1986 · J. Woods, S. O'Neil · IEEE Transactions on Acoustics Speech and Signal Processing · 1,016

Discovering objects and their location in images

2005 · J. Sivic, B.C. Russell, et al. · 980

Compressing Deep Convolutional Networks using Vector Quantization

2014 · Gong, Yunchao, Liu, Liu, et al. · arXiv (Cornell University) · 965

PDF

Image coding using vector quantization: a review

1988 · N.M. Nasrabadi, R.A. King · IEEE Transactions on Communications · 958

Deterministic annealing for clustering, compression, classification, regression, and related optimization problems

1998 · K. Rose · Proceedings of the IEEE · 877

A Unifying Review of Linear Gaussian Models