optimal vector quantization
Introduction to optimal vector quantization and its applications for numerics
... of optimal vector quantization to Numerical ...dimensionality. Optimal quantization trees (introduced in [2]) is one of the numerical methods designed to cope with this problem (with ...
55
Optimal vector quantization in terms of Wasserstein distance
... the optimal quantization error is equal to the Wasserstein distance between original and (optimal) approximation, which reflects these costs and is a key term in the theory of optimal mass ...
15
Introduction to vector quantization and its applications for numerics*
... to optimal vector quantization and its first applications to Numerical Probability and, to a lesser extent to Information Theory and Data ...the quantization rate of a random vector ...
51
Vector quantization and clustering in presence of censoring
... of optimal vector quantization for random vectors with one censored component and applications to clustering of censored ob- ...empirically optimal quantizer in presence of censoring and we ...
23
Optimal watermark embedding combining spread spectrum and quantization
... In this paper, an optimal watermark embedding method has been developed by combining spread spectrum and quantization techniques with the embedding distortion minimized. The watermarked signal was obtained ...
12
Energy-Constrained Optimal Quantization for Wireless Sensor Networks
... on optimal quantization deal with optimization of the quantization rules for detecting a signal in dependent or independent noise ...mance. Optimal quantization thresholds, given the ...
12
Optimal quantization of the mean measure and application to clustering of measures
... 3. In this Section our intent is to illustrate the potential of a fast and optimal measure quantization procedure, not to claim methodological superiority on some particular problem type or data. Therefore ...
45
Improving learning vector quantization using data reduction
... Learning Vector Quantization (LVQ) is a supervised learning algorithm commonly used for statistical classification and pattern recognition. The competitive layer in LVQ studies the input vectors and ...
12
Image Contrast Enhancement using Learning Vector Quantization
... list. Vector Quantization is a technique from signal processing where density functions are approximated with prototype vectors for applications such as ...Learning Vector Quantization is ...
7
An Improved Interpolative Vector Quantization Scheme for Image Compression
... of quantization for data compression: scalar quantization and vector ...A vector quantizer can be considered as a generalization of a scalar ...A vector can describe almost any type of ...
5
DETECTION OF TUMOR IN MRI USING VECTOR QUANTIZATION SEGMENTATION
... Magnetic Resonance Imaging (MRI) is the state-of-the-art medical imaging technology which allows cross sectional view of the body with unprecedented tissue contrast. MRI plays an important role in assessing pathological ...
5
Fuzzy Modeling using Vector Quantization with Supervised Learning
... Abstract—It is known that learning methods of fuzzy mod- eling using vector quantization (VQ) and steepest descend method (SDM) are superior in the number of rules to other methods using only SDM. There are ...
6
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
... OOVs: Magnitude implements a novel method for handling out-of-vocabulary (OOV) words. OOVs frequently occur in real world data since pre-trained models are often missing slang, col- loquialisms, new product names, or ...
7
Efficient Vector Quantization for Fast Approximate Nearest Neighbor Search
... given vector and a PQ centroid decomposes into the sum of distances to codevectors within individu- al subspaces, yielding the exact same result as ...single vector becomes 𝑂 (𝑀 ∙ 𝐾 ∙ 𝑀 𝐷 ) = ...Product ...
58
Vector Quantization for Image Compression using Repulsion based FPCM
... Yanfeng Zhang et al., [1] proposed an Agglomerative Fuzzy K-means clustering method with automatic selection of cluster number (NSS-AKmeans) approach for learning optimal number of clusters and for providing ...
8
Design and Comparison of Vector Quantization Codebooks for Narrowband Speech Coding
... multistage vector quantization a training speech sequence is 1st used to generate the ...multistage vector quantizer and 4-stage multistage vector quantizer, as we can see from the tables that ...
8
Novel multivariate vector quantization for effective compression of hyperspectral imagery
... by quantization, rate-distortion optimization and entropy coding was proposed ...advanced quantization and rate-distortion optimization ensure state-of-the-art compression ...
21
Detection and Demarcation of Tumor using Vector Quantization in MRI images
... The work we have done is to propose a segmentation process which identifies on a MRI the opaque areas, suspect or not, present in the image using vector quantization which consumes moderate time but provide ...
8
A Rigorous Approach to High-Resolution Entropy-Constrained Vector Quantization
... random vector X with probability density function (pdf) f is upper-bounded by −E[log g(X)] for any arbitrary pdf ...entropy-constrained vector quantization for d-dimensional sources and rth-power ...
18
New Clustering Algorithm for Vector Quantization using Walsh Sequence
... for vector quantization ...error vector sequence is the binary representation of numbers, so the cluster orientation change slowly in every ...error vector. The proposed technique (Kekre’s ...
6