Results 101 to 110 of about 693,698 (310)
Encoded Deep Features for Visual Place Recognition [PDF]
, 2020 In this work, a new VPR approach that uses the features extracted from a Convolutional Neural Network (CNN) architecture that will be encoded by the Fisher Vector (FV) is introduced.
Alqaraleh, Saed +5 more
core +1 more source
Ocular Recognition Using Deep Features for Identity Authentication
, 2020 Recently, ocular biometrics has been gaining importance in Biometrics due to the poor performance obtained in some cases by biometric systems based on characteristics of the whole face.
Marcelo V. Vizoni +3 more
core +2 more sources
FEBS Letters, EarlyView.Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
The low-frequency representation of image and its deep features.
, 2018 The low-frequency representation of image and its deep features.
Zhizheng Liang (4994216) +3 more
core +1 more source
Deep Federated Feature Recommendation
Feature recommendation is one of the most critical and challenging problems in modern digital intelligence system. However, it is difficult to ensure privacy protection in many situations. To address this challenge, a deep federated feature recommendation method, called DF_Rec, is designed.
Bin Xue +5 more
openaire +1 more source
pH‐mediated activation of the lysosomal arginine sensor SLC38A9
FEBS Letters, EarlyView.Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley +1 more source
, 2020 The fast and accurate creation of land use/land cover maps from very-high-resolution (VHR) remote sensing imagery is crucial for urban planning and environmental monitoring.
Xiuyuan Zhang +3 more
core +1 more source
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Multiple deep features learning for object retrieval in surveillance videos
, 2016 Efficient indexing and retrieving objects of interest from large‐scale surveillance videos are a significant and challenging topic. In this study, the authors present an effective multiple deep features learning approach for object retrieval in ...
Hanqing Lu, Jinqiao Wang, Haiyun Guo
core +1 more source
Remote Sensing, 2016 In recent years, deep learning has been widely studied for remote sensing image analysis. In this paper, we propose a method for remotely-sensed image classification by using sparse representation of deep learning features.
Heming Liang, Qi Li
doaj +1 more source