Scalar quantization (标量量化) A mapping of an input value x into a finite number of output values,y: Q:x−−−>yQ:x−−−>y Vector Quantization (VQ) Vector Quantization is used in many applications such as data compression, data correction, and pattern recognition. Vector quantiza...
Data compression using orthogonal transform and vector quantizationToshio KogaJunichi Ohki
Vector quantization is both a mathematical model and a technique for data compression, the goal of which is to minimize the transmission and storage rate for a communication system while retaining the best allowable fidelity to the original. Since the use of resources such as bandwidth will general...
This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ). The normalized SAR raw data are firstly processed with vector linear predictor, and then the error vectors are compressed with vector quantizer. Regarded as an extension of ...
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。
Vector Quantization and Clustering: These methods organize vectors into groups with similar characteristics, mitigating the impact of outliers and variance within the data. Embedding Refinement: For domain-specific applications, refining embeddings with additional training or techniques like retrofitting improves...
3 Proposed Soft-to-Hard Vector Quantization 3.1 Problem Formulation L个中心矢量,维度为d/m,将d维的特征转化为[L]m;原始特征z由m个d/m维的矢量构成,每个矢量选择采用最近邻算法。 由于带参数σ的softmax操作可以找到最近邻,当σ趋向于正无穷的时候,对应标签即为1,这就是硬分配;σ表示分配的硬度。
Vector Quantization 来自 ResearchGate 喜欢 0 阅读量: 40 作者:L Jia,RM Gray 出版社: Springer US 摘要: Vector quantization is both a mathematical model and a technique for data compression, the goal of which is to minimize the transmission and storage rate for a communication system while ...
However, random access to individual tuples in a compressed database is very difficult to achieve with most of the available compression techniques. This paper reports a lossless compression technique called non-differential augmented vector quantization. The technique is applicable to a collection of ...
Binary Quantization is a fast indexing and data compression method used by Qdrant. It supports vector comparisons, which can dramatically speed up query processing times (up to 40x faster!). Think of each data point as a ruler. Binary quantization splits this ruler in half at a certain point...