Results 21 to 30 of about 2,076,683 (280)
Feature Map Regularized CycleGAN for Domain Transfer
Mathematics, 2023 CycleGAN domain transfer architectures use cycle consistency loss mechanisms to enforce the bijectivity of highly underconstrained domain transfer mapping.
Lidija Krstanović +3 more
doaj +1 more source
Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature-Space Remapping (FSR) [PDF]
ACM Transactions on Intelligent Systems and Technology, 2015 Transfer learning aims to improve performance on a target task by utilizing previous knowledge learned from source tasks. In this paper we introduce a novel heterogeneous transfer learning technique, Feature-Space Remapping (FSR), which transfers knowledge between domains with different feature spaces.
Kyle D, Feuz, Diane J, Cook
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Development and Testing of a 2-D Transfer CCD [PDF]
, 2006 This paper describes the development, operation, and characterization of charge-coupled devices (CCDs) that feature an electrode structure that allows the transfer of charge both horizontally and vertically through the image area. Such devices have been
Burt, DJ +5 more
core +1 more source
IEEE Access, 2020 Detecting the frequency of the pest occurrence is always a time consuming and laborious task for agriculture. This paper attempts to solve the problem through the combination of deep learning and pest detection.
Yuh-Shyan Chen +2 more
doaj +1 more source
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images [PDF]
, 2018 Breast cancer is one of the most common types of cancer and leading cancer-related death causes for women. In the context of ICIAR 2018 Grand Challenge on Breast Cancer Histology Images, we compare one handcrafted feature extractor and five transfer ...
FA Spanhol +8 more
core +5 more sources
Algorithm of Stability-Analysis-Based Feature Selection for NIR Calibration Transfer
Sensors, 2022 For conventional near-infrared spectroscopy (NIR) technology, even within the same sample, the NIR spectral signal can vary significantly with variation of spectrometers and the spectral collection environment.
Zheyu Zhang +4 more
doaj +1 more source
Transfer Learning Oriented Text Feature Alignment Algorithm [PDF]
Jisuanji gongcheng, 2017 The inconsistency between source domain and target domain feature spaces results in accuracy decline of transfer learning.To resolve this problem,this paper proposes a different domain feature alignment method based on Word2Vec.Adjectives,adverbs,nouns ...
WEI Xiaocong,LIN Hongfei
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, 2019 Under difficult environmental conditions, the view of RGB cameras may be restricted by fog, dust or difficult lighting situations. Because thermal cameras visualize thermal radiation, they are not subject to the same limitations as RGB cameras. However, because RGB and thermal imaging differ significantly in appearance, common, state-of-the-art feature
Kleinschmidt, Sebastian P. +1 more
openaire +2 more sources
On the 10-micron silicate feature in Active Galactic Nuclei [PDF]
, 2009 The 10-micron silicate feature observed with Spitzer in active galactic nuclei (AGN) reveals some puzzling behavior. It (1) has been detected in emission in type 2 sources, (2) shows broad, flat-topped emission peaks shifted toward long wavelengths in ...
Elitzur, Moshe +2 more
core +3 more sources
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features [PDF]
, 2020 Transfer learning, which aims to reuse knowledge in different domains, has achieved great success in many scenarios via minimizing domain discrepancy and enhancing feature discriminability. However, there are seldom practical determination methods for measuring the transferability among domains.
Li, Xin-Chun +5 more
openaire +1 more source