Results 51 to 60 of about 1,866,673 (365)
Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000
Remote Sensing, 2018 Compression of hyperspectral imagery increases the efficiency of image storage and transmission. It is especially useful to alleviate congestion in the downlinks of planes and satellites, where these images are usually taken from.
Daniel Báscones +2 more
semanticscholar +1 more source
Lightweight Road Environment Segmentation using Vector Quantization [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesRoad environment segmentation plays a significant role in autonomous driving. Numerous works based on Fully Convolutional Networks (FCNs) and Transformer architectures have been proposed to leverage local and global contextual learning for efficient and ...
J. Kwag, A. Yilmaz, C. Toth
doaj +1 more source
Applied Sciences, 2022 Interference alignment (IA) is a promising interference management technique to achieve the theoretical optimal degree of freedom (DoF) performance in multi-user cooperation scenarios.
Long Suo, Fei Liu
doaj +1 more source
USING LEARNING VECTOR QUANTIZATION METHOD FOR AUTOMATED IDENTIFICATION OF MYCOBACTERIUM TUBERCULOSIS
Indonesian Journal of Tropical and Infectious Disease, 2015 In this paper, we are developing an automated method for the detection of tubercle bacilli in clinical specimens, principally the sputum. This investigation is the first attempt to automatically identify TB bacilli in sputum using image processing and ...
Endah Purwanti, Prihartini Widiyanti
doaj +1 more source
Advanced Functional Materials, EarlyView.Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho +8 more
wiley +1 more source
IEEE Access, 2021 In a real-world environment, there are several difficult obstacles to overcome in classification. Those obstacles are data overlapping and skewness of data distribution. Overlapping data occur when many data from different classes overlap with each other;
Wisnu Jatmiko +7 more
doaj +1 more source
A Novel and Efficient Vector Quantization Based CPRI Compression Algorithm [PDF]
IEEE Transactions on Vehicular Technology, 2015 The future wireless network, such as the Centralized Radio Access Network (C-RAN), will need to deliver data rate about 100–1000 times the current fourth-generation (4G) technology.
Hongbo Si +3 more
semanticscholar +1 more source
Channel-Optimized Vector Quantizer Design for Compressed Sensing Measurements
, 2013 We consider vector-quantized (VQ) transmission of compressed sensing (CS) measurements over noisy channels. Adopting mean-square error (MSE) criterion to measure the distortion between a sparse vector and its reconstruction, we derive channel-optimized ...
Chatterjee, Saikat +2 more
core +1 more source
Engineering a Spin‐Orbit Bandgap in Graphene‐Tellurium Heterostructures
Advanced Functional Materials, EarlyView.Tellurium intercalation in epitaxial graphene on Ir(111) enables the emergence of a spin–orbit‐induced bandgap with energy spin splitting. By combining STM, ARPES, spin‐resolved ARPES, and DFT, two structural phases are identified, both exhibiting tunable electronic doping.
Beatriz Muñiz Cano +14 more
wiley +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