Results 71 to 80 of about 18,574 (304)
Text-Independent Speaker Verification Based on Information Theoretic Learning [PDF]
In this paper VQ (Vector Quantization) based on information theoretic learning is investigated for the task of text-independent speaker verification. A novel VQ method based on the IT (Information Theoretic) principles is used for the task of speaker ...
Sheeraz Memon +2 more
doaj
Distributed Vector Quantization Based on Kullback-Leibler Divergence
The goal of vector quantization is to use a few reproduction vectors to represent original vectors/data while maintaining the necessary fidelity of the data.
Pengcheng Shen +2 more
doaj +1 more source
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh +10 more
wiley +1 more source
Edge state quantization: vector fields in Rindler
We present a detailed discussion of the entanglement structure of vector fields through canonical quantization. We quantize Maxwell theory in Rindler space in Lorenz gauge, discuss the Hilbert space structure and analyze the Unruh effect.
Andreas Blommaert +3 more
doaj +1 more source
Adversarial defenses via vector quantization
This is the author-accepted version of our paper published in Neurocomputing.
Zhiyi Dong, Yongyi Mao
openaire +2 more sources
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source
Adaptive Vector Quantization for Lossy Compression of Image Sequences
In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes the input data in a single-
Raffaele Pizzolante +2 more
doaj +1 more source
Spectroscopic Evidence of Edge‐Localized States in an Antiferromagnet Topological Insulator NdBi
Using spin‐polarized scanning tunneling microscopy (STM) in conjunction with quasiparticle interference, we successfully identify distinct signatures of the ferromagnetic and antiferromagnetic terminations in NdBi, a rare‐earth monopnictide exhibiting non‐trivial topology and magnetism. We demonstrate that step edges on ferromagnetic surfaces host well‐
Avior Almoalem +8 more
wiley +1 more source
Identification of Bacilli Bacteria in Acute Respiratory Infection (ARI) using Learning Vector Quantization [PDF]
Zilvanhisna Emka Fitri +3 more
openalex +1 more source

