Results 51 to 60 of about 34,284 (266)
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Sparse Tensor Auto-Encoder for Saliency Detection
IEEE Access, 2020 In this paper a new Sparse Tensor Auto-Encoder (STAE) model is proposed to learn a latent and discriminative feature representations for saliency detection.
Shuyuan Yang, Junxiao Wang
doaj +1 more source
Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders [PDF]
, 2012 Recent work suggests that some auto-encoder variants do a good job of capturing the local manifold structure of the unknown data generating density.
Alain, Guillaume +2 more
core
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
, 2017 In this paper, we investigate the Chinese calligraphy synthesis problem: synthesizing Chinese calligraphy images with specified style from standard font(eg. Hei font) images (Fig. 1(a)).
Bai, Xiang +5 more
core +1 more source
Auto-Encoding Sequential Monte Carlo
, 2017 We build on auto-encoding sequential Monte Carlo (AESMC): a method for model and proposal learning based on maximizing the lower bound to the log marginal likelihood in a broad family of structured probabilistic models. Our approach relies on the efficiency of sequential Monte Carlo (SMC) for performing inference in structured probabilistic models and ...
Le, T +4 more
openaire +3 more sources
FEBS Open Bio, EarlyView.dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon +6 more
wiley +1 more source
Deep Learning Approach for Industrial Process Improvement
Chemical Engineering Transactions, 2019 The full operation of an industrial processing facility with artificial intelligence has been the holy grail of Industry 4.0. One of the inherent difficulties is the enumerate and complex nature of processing information within an industrial plant. Hence,
Sin Yong Teng +3 more
doaj +1 more source
Auto-encoders: reconstruction versus compression [PDF]
, 2014 We discuss the similarities and differences between training an auto-encoder to minimize the reconstruction error, and training the same auto-encoder to compress the data via a generative model.
Ollivier, Yann
core +1 more source
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
, 2019 Models trained for classification often assume that all testing classes are known while training. As a result, when presented with an unknown class during testing, such closed-set assumption forces the model to classify it as one of the known classes ...
Oza, Poojan, Patel, Vishal M
core +1 more source
FEBS Open Bio, EarlyView.A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti +3 more
wiley +1 more source