Results 61 to 70 of about 766,173 (279)

Batik Classification using Microstructure Co-occurrence Histogram

JOIV: International Journal on Informatics Visualization
Batik Nitik is a distinctive form of batik originating from the culturally rich region of Yogyakarta, Indonesia. What sets it apart from other batik styles is its remarkable motif similarity, a characteristic that often poses a considerable challenge ...
Agus Eko Minarno, Indah Soesanti, Hanung Adi Nugroho   +2 more
doaj   +1 more source

Spectral dimensionality reduction for HMMs [PDF]

, 2012
Hidden Markov Models (HMMs) can be accurately approximated using co-occurrence frequencies of pairs and triples of observations by using a fast spectral method in contrast to the usual slow methods like EM or Gibbs sampling.
Foster, Dean P., Rodu, Jordan, Ungar, Lyle H.   +2 more
core   +2 more sources

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

Ship Classification Based On Co-Occurrence Matrix and Support Vector Machines

Electrica
Synthetic aperture radar (SAR) is an important and efficient imaging technology. This system provides robust information for various applications such as ship detection, climate change, and agricultural land modeling.
Kazım Hanbay, Taha Burak Özdemir
doaj   +1 more source

Binary Co-occurrence Matrix in Image Database Indexing [PDF]

, 2003
The use of the second order statistical measures has became popular in the image database indexing and retrieval. Unlike the common approach, image histogram, second order statistics like image correlogram and autocorrelogram consider also the spatial organization of the image colors or gray levels. Recently, correlograms and autocorrelograms have been
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa, Ari Visa   +3 more
openaire   +1 more source

A Systematic Comparison of Alpha‐Synuclein Seed Amplification Assays for Increasing Reproducibility

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Seed amplification assays (SAAs) enable ultrasensitive detection of misfolded α‐synuclein across biofluids and tissues. Yet, heterogeneity in protocols limits cross‐study comparability and clinical translation. Here, we review α‐synuclein SAA methods and their performance across various biological matrices.
Manuela Amaral‐do‐Nascimento, Daniela F. Santos, Tuane C. R. G. Vieira, Tiago F. Outeiro   +3 more
wiley   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Co-occurrence feature learning for visual recognition of immature leukocytes

Scientific Reports
Accurate and timely diagnosis of leukemia, a cancer characterized by an excessive number of abnormal white blood cells (WBCs), is crucial for effective treatment.
Yi-Ting Hsiao, Si-Wa Chan, Yen-Chieh Ouyang, Ju-Huei Chien   +3 more
doaj   +1 more source

Identifikasi Kematangan Buah Apel Dengan Gray Level Co-Occurrence Matrix (GLCM)

Jurnal Saintekom, 2017
Digital image processing is part of the technological developments in the concepts and reasoning, the human wants the machine (computer) can recognize images like human vision.
Maura Widyaningsih
doaj   +1 more source

Gray level co-occurrence matrix in polar orientation

, 2018
Classification of gray images based on their textural features is one of the main tools in medical image processing. Gray Level Co-occurrence Matrix (GLCM) is such a widely used technique which represents how frequently the different gray level combinations occur in an image, traditionally in Cartesian directions.
Bandara, Muditha S, Wansapura, Janaka
openaire   +1 more source