Results 71 to 80 of about 1,054,370 (330)

On the sub-permutations of pattern avoiding permutations

open access: yes, 2014
There is a deep connection between permutations and trees. Certain sub-structures of permutations, called sub-permutations, bijectively map to sub-trees of binary increasing trees.
Disanto, Filippo, Wiehe, Thomas
core   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

A Completed Multi-Scale Local Statistics Pattern for Texture Classification

open access: yesImage Analysis and Stereology
Binary pattern methods play a vital role in extracting texture features. However, most of existing methods struggle to capture comprehensive and discriminative texture information.
Xiaochun Xu, Bin Li, Q.M. Jonathan Wu
doaj   +1 more source

Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring

open access: yesJournal of Imaging, 2019
Breast density is considered to be one of the major risk factors in developing breast cancer. High breast density can also affect the accuracy of mammographic abnormality detection due to the breast tissue characteristics and patterns.
Minu George, Reyer Zwiggelaar
doaj   +1 more source

Classification of wood defect images using local binary pattern variants

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2020
This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images.
Rahillda Nadhirah Norizzaty Rahiddin   +5 more
doaj   +1 more source

Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval

open access: yes, 2018
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. However, LBP has some notable limitations, mostly the sensitivity to noise.
Alkhatib, Mohammad, Hafiane, Adel
core   +1 more source

Copy-Move Forgery Detection Using Scale Invariant Feature and Reduced Local Binary Pattern Histogram

open access: yesSymmetry, 2020
Because digitized images are easily replicated or manipulated, copy-move forgery techniques are rendered possible with minimal expertise. Furthermore, it is difficult to verify the authenticity of images.
Jun Young Park   +3 more
semanticscholar   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

PENGENALAN IRIS MENGGUNAKAN FITUR LOCAL BINARY PATTERN DAN RBF CLASSIFIER

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2020
Iris merupakan bagian dari mata yang memiliki keunikan. Keunikan pada iris ini menjadi alasan iris digunakan sebagai identitas seperti sidik jari,dan suara. Dibandingkan dengan sidik jari, iris memiliki kelebihan karena letak iris yang lebih terlindungi.
Muhammad Ezar Al Rivan, Siska Devella
doaj   +1 more source

Combined local search strategy for learning in networks of binary synapses

open access: yes, 2011
Learning in networks of binary synapses is known to be an NP-complete problem. A combined stochastic local search strategy in the synaptic weight space is constructed to further improve the learning performance of a single random walker.
Huang, Haiping, Zhou, Haijun
core   +2 more sources

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