Results 71 to 80 of about 1,446,341 (290)

On a shape adaptive image ray transform

, 2013
A conventional approach to image analysis is to perform separately feature extraction at a low level (such as edge detection) and follow this with high level feature extraction to determine structure (e.g.
Ah Reum, Oh, Nixon, Mark S.
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

Aspect-level multimodal sentiment analysis model based on multi-scale feature extraction

Scientific Reports
In existing multimodal sentiment analysis methods, only the last layer output of BERT is typically used for feature extraction, neglecting abundant information from intermediate layers.
Bocheng Miao, Changbo Xu
doaj   +1 more source

Video Feature Extraction Based on Modified LLE Using Adaptive Nearest Neighbor Approach [PDF]

, 2015
Locally linear embedding (LLE) is an unsupervised learning algorithm which computes the low dimensional, neighborhood preserving embeddings of high dimensional data. LLE attempts to discover non-linear structure in high dimensional data by exploiting the
Bohra, P. (Preksha), Joshi, S. (Sunil)
core  

Efficient Deep Feature Learning and Extraction via StochasticNets

, 2015
Deep neural networks are a powerful tool for feature learning and extraction given their ability to model high-level abstractions in highly complex data.
Fieguth, Paul, Shafiee, Mohammad Javad, Siva, Parthipan, Wong, Alexander   +3 more
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Feature Extraction

, 2021
Feature ...
openaire   +3 more sources

Spectral-Spatial Feature Transformations With Controlling Contextual Information Through Smoothing Filtering and Morphological Analysis

International Journal of Information and Communication Technology Research, 2018
A fusion method for spectral-spatial classification of hyperspectral images is proposed in this paper. In the proposed framework, at first, the dimension of hyperspectral image is reduced by several state-of-the-art spectral feature extraction methods, i.
Maryam imani, Hassan Ghassemian
doaj  

Biometric Feature Extraction for Iris Scans

Journal of Information Security and Cybercrimes Research, 2019
This paper generally seeks to demonstrate understanding and use of iris scans for biometric identification. Salient features of iris are identified, their extracts analyzed critically by use of a software.
Muhanned AL-Rawi
doaj   +1 more source

Nonparametric Feature Extraction from Dendrograms

, 2019
We propose feature extraction from dendrograms in a nonparametric way. The Minimax distance measures correspond to building a dendrogram with single linkage criterion, with defining specific forms of a level function and a distance function over that ...
Chehreghani, Morteza Haghir, Chehreghani, Mostafa Haghir   +1 more
core