Results 61 to 70 of about 33,048 (289)
IEEE AccessThe most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by uneven lighting. To address this issue, local thresholding techniques
Tapaswini Pattnaik +6 more
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Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
Training Multi-Bit Quantized and Binarized Networks with a Learnable Symmetric Quantizer
IEEE Access, 2021 Quantizing weights and activations of deep neural networks is essential for deploying them in resource-constrained devices, or cloud platforms for at-scale services.
Phuoc Pham +2 more
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Dispensing Volumetric Additive Manufacturing
Advanced Functional Materials, EarlyView.Dispensing volumetric additive manufacturing (DVAM) prints 3D structures inside a photocurable resin droplet suspended from the tip of a glass pipette, enabling sequential printing without resin vats or manual part removal. Real‐time droplet profiling and ray‐tracing‐based correction compensate for optical distortion at the curved resin‐air interface ...
Hongryung Jeon +5 more
wiley +1 more source
OBJECT STRUCTURE EFFECT ON OPTIMAL LEVELS OF HOLOGRAM BINA-RIZATION IN TERMS OF RECONSTRUCTED IMAGE QUALITY [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2018 Subject of Research. The paper presents research results on object structure effect, that is the type and size of its elements, on optimal level of computer generated Fresnel holograms binarization in terms of reconstructed image quality. Method.
S. N. Koreshev, S. O. Starovoitov
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Finding Statistically Significant Interactions between Continuous Features
, 2019 The search for higher-order feature interactions that are statistically significantly associated with a class variable is of high relevance in fields such as Genetics or Healthcare, but the combinatorial explosion of the candidate space makes this ...
Borgwardt, Karsten, Sugiyama, Mahito
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An Evaluation Technique for Binarization Algorithms [PDF]
J. Univers. Comput. Sci., 2008 JUCS - Journal of Universal Computer Science Volume Nr.
Stathis,Pavlos +2 more
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Advanced Functional Materials, EarlyView.A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee +11 more
wiley +1 more source
ISPRS International Journal of Geo-Information, 2017 A landslide susceptibility map plays an essential role in urban and rural planning. The main purpose of this study is to establish a variable-weighted linear combination model (VWLC) and assess its potential for landslide susceptibility mapping. Firstly,
Wei Chen +4 more
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Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration
, 2017 State-of-the-art convolutional neural networks are enormously costly in both compute and memory, demanding massively parallel GPUs for execution. Such networks strain the computational capabilities and energy available to embedded and mobile processing ...
Gupta, Rajesh K. +6 more
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