Results 61 to 70 of about 61,624 (324)

Learning a Deep Vector Quantization Network for Image Compression

IEEE Access, 2019
Deep convolutional neural network (DCNN) based image codecs, consisting of encoder, quantizer and decoder, have achieved promising image compression results. The major challenge in learning these DCNN models lies in the joint optimization of the encoder,
Xiaotong Lu, Heng Wang, Weisheng Dong, Fangfang Wu, Zhonglong Zheng, Guangming Shi   +5 more
doaj   +1 more source

Physics‐Informed Deep Learning Method for Real‐Time Multi‐Harmonic Beamforming Based on Space‐Time‐Coding Metasurface

Advanced Electronic Materials, EarlyView.
This work proposed an unsupervised physics‐informed deep learning method of generating space‐time‐coding metasurface coding patterns for arbitrary single‐ and dual‐beam requirements at each harmonic. This method is specially designed for the coding pattern design task of multi‐bit scenario, and it can effectively handle the optimization trouble caused ...
Jiang Han Bao, Che Liu, Yi Ning Zheng, Lei Zhang, Wen Ming Yu, Lianlin Li, Tie Jun Cui   +6 more
wiley   +1 more source

Klasifikasi Stroke Berdasarkan Kelainan Patologis dengan Learning Vector Quantization

Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2014
Dampak yang ditimbulkan stroke diantaranya kelumpuhan sebagian atau keseluruhan organ tubuh sampai kematian. Tingginya angka kematian akibat stroke disebabkan karena penanganan yang lambat.
Aji Seto Arifianto, Moechammad Sarosa, Onny Setyawati   +2 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kimh, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Text-Independent Speaker Verification Based on Information Theoretic Learning [PDF]

Mehran University Research Journal of Engineering and Technology, 2011
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, Tariq Jameel Saifullah Khanzada, Sania Bhatti   +2 more
doaj  

Membuat Pixel Art Menggunakan Learning Vector Quantization [PDF]

, 2012
Pixel art didesain untuk banyak kepentingan dalam merepresentasikan wujud real life look seni visual artefak kontemporer. Pixel art adalah kratifitas seni membangun gambar dari unit kecil berwarna yang disebut dengan piksel, dari sebuah citra digital ...
AS, P. W. (Putra), Purnomo, M. H. (Mauridhi), Sumpeno, S. (Surya)   +2 more
core   +1 more source

Fast Quantization of Stochastic Volatility Models

, 2017
Recursive Marginal Quantization (RMQ) allows fast approximation of solutions to stochastic differential equations in one-dimension. When applied to two factor models, RMQ is inefficient due to the fact that the optimization problem is usually performed ...
Kienitz, Joerg, McWalter, Thomas A., Platen, Eckhard, Rudd, Ralph   +3 more
core   +1 more source

Enhancing the Speed of the Learning Vector Quantization (LVQ) Algorithm by Adding Partial Distance Computation [PDF]

, 2022
Orieb AbuAlghanam, Omar Adwan, Mohammad A. Al Shariah, Mohammad Qatawneh   +3 more
openalex   +1 more source

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

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