Results 101 to 110 of about 514,020 (257)

Large Margin Few-Shot Learning

, 2018
The key issue of few-shot learning is learning to generalize. This paper proposes a large margin principle to improve the generalization capacity of metric based methods for few-shot learning. To realize it, we develop a unified framework to learn a more discriminative metric space by augmenting the classification loss function with a large margin ...
Wang, Yong, Wu, Xiao-Ming, Li, Qimai, Gu, Jiatao, Xiang, Wangmeng, Zhang, Lei, Li, Victor O. K.   +6 more
openaire   +2 more sources

Colloidal Heterostructures Enable Interfacial Transport of Immiscible Molecules in Printable Organohydrogels

Advanced Materials, EarlyView.
Multiphase printable organohydrogels with tunable microstructures are developed to control molecular transport pathways for immiscible cargo. The tortuosity and domain size of the colloidal phases are tuned by adjusting temperature and shear during processing, which enables the tailoring of diffusion kinetics due to different transport pathways.
Riley E. Dowdy‐Green, Rony Waheibi, Nazanin Shakoury, Yuemei Ye, Lilian C. Hsiao   +4 more
wiley   +1 more source

Few Shot Learning with Simplex

, 2018
Deep learning has made remarkable achievement in many fields. However, learning the parameters of neural networks usually demands a large amount of labeled data. The algorithms of deep learning, therefore, encounter difficulties when applied to supervised learning where only little data are available. This specific task is called few-shot learning.
Zhang, Bowen, Zhang, Xifan, Cheng, Fan, Zhao, Deli   +3 more
openaire   +2 more sources

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Few-Shot Learning Method with Augmentation Data Based on Transferring Intra-Class Variations [PDF]

Jisuanji gongcheng
Few-shot learning aims to classify new categories based on only one or a few examples. To address this problem, data augmentation is often used as a direct and effective approach. Further, the augmented data should be diverse and discriminable.
LI Xiaoyu, LUO Na
doaj   +1 more source

Low Resistance Interphase Formation at the PEO‐LiTFSI|LGPS Interface in Lithium Solid‐State Batteries

Advanced Materials Interfaces, EarlyView.
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar, Timo Weintraut, Sebastian L. Benz, Semih Engün, Sascha Kremer, Anja Henss, Felix H. Richter   +6 more
wiley   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Multiscale Acoustic Bubble Actuators Using Bioinspired Liquid‐Repellent Microstructures

Advanced Materials Technologies, EarlyView.
The article presents multiscale acoustic bubble actuators using bioinspired liquid‐repellent microstructures, enabling programmable trapping, pumping, mixing, and precise flow control. Mimicking springtail microstructures, these scalable actuators (200 µm–1 mm) offer multifunctionality in all‐in‐one devices, letter‐shaped arrays, and 3D cube ...
Cem Balda Dayan, Nima Mahkam, Nihal Olcay Dogan, Ville Liimatainen, Defne Hiz, Aleyna Ilgezdi, Daniel Razansky, Amirreza Aghakhani, Metin Sitti   +8 more
wiley   +1 more source

Few-shot Learning in Intelligent Agriculture: A Review of Methods and Applications

Journal of Agricultural Sciences
Due to the high cost of data acquisition in many specific fields, such as intelligent agriculture, the available data is insufficient for the typical deep learning paradigm to show its superior performance.
Sezai Ercisli, Jingbin Li, Kangle Song, Yi Wang, Huting Wang, Yichen Yuan, Jing Nie, Yang Li   +7 more
doaj   +1 more source

Programmable Dimensional Lithography with Digital Micromirror Devices for Multifunctional Microarchitectures

Advanced Materials Technologies, EarlyView.
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee, Byungcheon Yoo, Chaeyeong Ryu, Jongwon Oh, Dahye Baek, Jiseok Lee   +5 more
wiley   +1 more source