Results 51 to 60 of about 18,476 (288)

A ranking hashing algorithm based on listwise supervision

open access: yesDianxin kexue, 2019
Recently,learning to hash technology has been used for the similarity search of large-scale data.It can simultaneous increase the search speed and reduce the storage cost through transforming the data into binary codes.At present,most ranking hashing ...
Anbang YANG   +3 more
doaj   +2 more sources

Multi-Attribute Decision-Making Method Based Distance and COPRAS Method with Probabilistic Hesitant Fuzzy Environment

open access: yesInternational Journal of Computational Intelligence Systems, 2021
As an extension of hesitant fuzzy set, the probabilistic hesitant fuzzy set (PHFS) can more accurately express the initial decision information given by experts, thus the decision method based on PHFS is more true and reliable.
Haifeng Song, Zi-chun Chen
doaj   +2 more sources

Detection Of Duplicate And Near-Duplicate Content For Web Crawlers

open access: yesJISR on Computing, 2015
There is an abundance of duplicated web documents on the internet. For example, two documents online could be very similar to each other except for a very small portion, such as URLs and advertisements.
Hadi Hussain Khan, Husnain Mansoor Ali
doaj   +1 more source

Unsupervised Ensemble Hashing: Boosting Minimum Hamming Distance

open access: yesIEEE Access, 2020
Hashing aims at learning discriminative binary codes of high-dimensional data for the approximate nearest neighbor searching. However, the distance ranking obtained by traditional methods is not optimum in the Hamming space, and it degrades the ...
Yufei Zha   +3 more
doaj   +1 more source

24Hamming1995May19.QuantumMechanics [PDF]

open access: yes, 1995
"The Art of Doing Science and Engineering: Learning to Learn" was the capstone course by Dr. Richard W. Hamming (1915-1998) for graduate students at the Naval Postgraduate School (NPS) in Monterey California.
Hamming, Richard W.
core  

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau   +8 more
wiley   +1 more source

09Hamming1995April14.nDimensionalsSpace [PDF]

open access: yes, 1995
"The Art of Doing Science and Engineering: Learning to Learn" was the capstone course by Dr. Richard W. Hamming (1915-1998) for graduate students at the Naval Postgraduate School (NPS) in Monterey California.
Hamming, Richard W.
core  

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

open access: yesMolecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura   +19 more
wiley   +1 more source

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick   +19 more
wiley   +1 more source

Probabilistic Links Between Quantum Classification of Patterns of Boolean Functions and Hamming Distance

open access: yesStats
This article investigates the probabilistic relationship between quantum classification of Boolean functions and their Hamming distance. By integrating concepts from quantum computing, information theory, and combinatorics, we explore how Hamming ...
Theodore Andronikos   +4 more
doaj   +1 more source

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