[5] Yoojin Choi, Mostafa El-Khamy, and Jungwon Lee. Towards the limit of network quantization. arXiv preprint arXiv:1612.01543, 2016. [6] Matthieu Courbariaux, Yoshua Bengio, and Jean-Pierre David. Binaryconnect: Training deep neural networks with binary weights during propagations. In Advanc...
Learning vector quantizationPrototype-based machine learning methods such as learning vector quantisation (LVQ) offer flexible classification tools, which represent a classification in terms of typical prototypes. This representation leads to a particularly intuitive classification scheme, since prototypes can ...
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Reyadh Shaker Naoum and Zainab Namh Al-Sultani, " Learning Vector Quantization (LVQ) and k-Nearest Neighbor for Intrusion Classification", World of Computer Science and Information Technology Journal (WCSIT), Vol. 2, No. 3, 105-109, 2012...
在早期,我们可能会使用线性搜索或者树形结构来索引和检索向量。但是,随着数据量的增长,这些方法可能会变得效率低下。因此,现代的向量索引和检索方法,如倒排索引 (Inverted Index) 和乘积量化 (Product Quantization) 等,被开发出来 [9]。这些方法可以更有效地处理大规模数据,提供更快速的索引和检索。
A method is presented for computing the discrete Fourier transform (DFT) of data compressed using vector quantization (VQ). The VQ compressed data are not ... CJ Read,DM Chabries,RW Christiansen,... - IEEE 被引量: 19发表: 1989年 Online distortion simulation using generative machine learning...
Learning vector quantizationClassificationInterpretable modelsPrototype base modelsPrototype-based models like the Generalized Learning Vector Quantization (GLVQ) belong to the class of interpretable classifiers. Moreover, quantum-inspired methods get more and more into focus in machine learning due to its ...
We extracted feature vectors from the data in terms of single marker statistics, including characteristic moments, median and interquartile range of the observed values. Subsequently, we applied Generalized Matrix Relevance Learning Vector Quantization (GMLVQ), a machine learning technique which extends ...
For example, use {"params": {"hnsw_ef": 0, "exact": false, "quantization": null}} to set search_params. No search_filters dict The search filters. It's key-value pairs. The input format is like {"filter": {"should": [{"key": "", "match": {"value": ""}}]}}. No...
In... Eduardo Antnio Barros Da Silva,D G Sampson,Mohammad Ghanbari - 《IEEE Transactions on Image Processing》 被引量: 204发表: 1996年 A successive approximation vector quantizer for wavelet transform image coding A coding method for wavelet coefficients of images using vector quantization, called...