Results 71 to 80 of about 1,369,914 (322)

IMPROVING SIFT FOR IMAGE FEATURE EXTRACTION

Studia Universitatis Babes-Bolyai: Series Informatica, 2017
This paper reviews a classical image feature extraction algorithm, namely SIFT (i.e. Scale Invariant Feature Transform) and modifies it in order to increase its repeatability score.
Renata DEAK, Adrian STERCA, Ioan BĂDĂRÎNZĂ   +2 more
doaj   +1 more source

Circulating histones as clinical biomarkers in critically ill conditions

FEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez, Juan Carlos Ruiz‐Rodríguez, Ricard Ferrer, Raquel Durá, Antonio Artigas, Iván Bajaña, David Bolado López de Andujar, Irene Cánovas‐Cervera, Adrián Ceccato, Luis Chiscano‐Camón, Elena Climent‐Martinez, Georgia García Fernández, Gemma Goma, Verónica Monforte, Beatriz Quevedo‐Sánchez, Adolf Ruiz‐Sanmartín, Antonio Sierra‐Rivera, Nieves Carbonell Monleón   +17 more
wiley   +1 more source

Unsupervised Network Pretraining via Encoding Human Design

, 2016
Over the years, computer vision researchers have spent an immense amount of effort on designing image features for the visual object recognition task. We propose to incorporate this valuable experience to guide the task of training deep neural networks ...
Chen, Xi, Liu, Ming-Yu, Mallya, Arun, Tuzel, Oncel C.   +3 more
core   +1 more source

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  

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
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

Feature extraction in classification

, 2013
Feature extraction, or dimensionality reduction, is an essential part of many machine learning applications. The necessity for feature extraction stems from the curse of dimensionality and the high computational cost of manipulating high-dimensional data. In this thesis we focus on feature extraction for classification.
openaire   +4 more sources

Intron‐oriented HTLV‐1 integration in an adult T‐cell leukemia/lymphoma cell line sustains expression of intact ift81 mRNA

FEBS Letters, EarlyView.
In the adult T‐cell leukemia/lymphoma (ATL) cell line ED, the human T‐cell leukemia virus type 1 (HTLV‐1) provirus was integrated into the intron of the ift81 gene in the antisense orientation. Despite this integration, both the intact ift81 and the viral oncogene hbz were simultaneously expressed, likely due to the functional insufficiency of viral ...
Mayuko Yagi, Yuka Hirosawa, Yusaku Sagisaka, Minami Hama, Satoshi Takeda, Jun A. Komano   +5 more
wiley   +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  

Dimension Reduction by Mutual Information Discriminant Analysis [PDF]

, 2012
In the past few decades, researchers have proposed many discriminant analysis (DA) algorithms for the study of high-dimensional data in a variety of problems.
Shadvar, Ali
core   +1 more source