Results 61 to 70 of about 57,218 (285)

Greedy vector quantization [PDF]

, 2014
We investigate the greedy version of the $L^p$-optimal vector quantization problem for an $\mathbb{R}^d$-valued random vector $X\!\in L^p$. We show the existence of a sequence $(a_N)_{N\ge 1}$ such that $a_N$ minimizes $a\mapsto\big \|\min_{1\le i\le N-1}
Luschgy, Harald, Pagès, Gilles
core   +2 more sources

Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge2Sb2Te5 PCM Chip

Advanced Science, EarlyView.
A memristive in‐memory object detection system is presented for edge computing based on a 128 Mb phase change memory chip (40 nm, 99.99999 % yield) enabling in‐memory vector‐matrix multiplication and max computation. A novel mixed‐precision weight mapping reduces analog‐to‐digital‐converter energy by 22.3×.
Chenchen Xie, Yuqi Li, Longhao Yan, Sannian Song, Houpeng Chen, Ruijuan Qi, Xi Li, Yihang Zhu, Lianfeng Yu, Bonan Yan, Yaoyu Tao, Gaoming Feng, Yuchao Yang, Zhitang Song   +13 more
wiley   +1 more source

MEASUREMENT OF CLASSIFICATION PERFORMANCE WITH THE LEARNING VECTOR QUANTIZATION METHOD ON COVID-19 VACCINATION DATA AT THE PARUMPANAI HEALTH CENTER

Jurnal Matematika UNAND
In the midst of the COVID-19 pandemic, various countries are always trying their best to restore global stability. One effective way is the discovery of several vaccines to prevent transmission of the virus.
ADHIYAKSA PRANANDA, Siswanto Siswanto, Sri Astuti Thamrin, A. Muh. Amil Siddik   +3 more
doaj   +1 more source

An Ultrathin Optoelectronic Memristor with Dual‐Functional Photodetector and Optical Synapse Behaviors for Neuromorphic Vision

Advanced Electronic Materials, EarlyView.
An optoelectronic memristor based on an ultrathin periodic heterostructure is proposed. The unique structure enables the integration of multiple functionalities, including those of a photodetector, electric synapse, and optical synapse. This work provides a framework to design ultrathin, multifunctional, and energy‐efficient neuromorphic chips for ...
Lilan Zou, Junru An, Haonan Xu, Guizhen Wang, Shiwei Lin   +4 more
wiley   +1 more source

KLASIFIKASI RUMAH LAYAK HUNI DI KABUPATEN BREBES DENGAN MENGGUNAKAN METODE LEARNING VECTOR QUANTIZATION DAN NAIVE BAYES [PDF]

, 2016
House is a very basic need for everyone besides food and clothing. House can reflect the level of welfare and the level of health of its inhabitants. The advisability of a house as a good shelter can be seen from the structure and facilities of buildings.
SIMATUPANG, FITRI JUNIATY
core  

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

Advanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula, Tanakit Phamornratanakun, Angello Huerta Gomez, Marcel El‐Mokahal, Zhen Ma, Yunhe Feng, Huaxiao Yang   +6 more
wiley   +1 more source

Pengenalan Bahasa Isyarat Huruf Abjad Menggunakan Metode Learning Vector Quantization (LVQ)

Jurnal Masyarakat Informatika, 2017
Komunikasi paling efektif bagi mereka yang kurang beruntung (dalam hal ini penderita tuna rungu) adalah komunikasi non verbal. Komunikasi non verbal menggunakan gerakan tangan maupun gerakan tubuh dalam komunikasinya.
Sulistia Rauf Yulian, Suhartono Suhartono   +1 more
doaj   +1 more source

Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks

IEEE Open Journal of the Communications Society, 2020
Sparse signals, encountered in many wireless and signal acquisition applications, can be acquired via compressed sensing (CS) to reduce computations and transmissions, crucial for resource-limited devices, e.g., wireless sensors.
Markus Leinonen, Marian Codreanu
doaj   +1 more source

Average Competitive Learning Vector Quantization [PDF]

Communications in Statistics - Simulation and Computation, 2013
We propose a new algorithm for vector quantization:Average Competitive Learning Vector Quantization (ACLVQ). It is a rather simple modification of the classical Competitive Learning Vector Quantization (CLVQ). This new formulation give us similar results for the quantization error to those obtained by the CLVQ and reduce considerably the computation ...
Li-Vang Lozada-Chang, Luis A. Salomón, Jean-Claude Fort   +2 more
openaire   +2 more sources

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source