Results 101 to 110 of about 74,356 (308)

Subject search of images

open access: yesKnjižnica, 2007
With development of technology, large image databases have become reality. Pictures in these databases were mainly described with keywords, but due to insufficiency of such description, the need for different approach to image indexing and retrieval has ...
Tomaž Kranjc, Jasna Maver
doaj   +1 more source

Content-based image retrieval and the use of neural networks for user adaptation

open access: yes, 2006
Kämpfe TK. Content-based image retrieval and the use of neural networks for user adaptation.
Kämpfe, Tanja Katharina
core  

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

open access: yesMolecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi   +11 more
wiley   +1 more source

Content-Based Image Retrieval for Multiple Objects Search

open access: yesCybernetics and Information Technologies, 2017
The progress of image search engines still proceeds, but there are some challenges yet in complex queries. In this paper, we present a new semantic image search system, which is capable of multiple object retrieval using only visual content of the images.
Szűcs Gábor, Papp Dávid
doaj   +1 more source

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents

open access: yes, 2010
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C.   +3 more
core   +1 more source

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

A hierarchical nonparametric discriminant analysis approach for a content-based image retrieval system

open access: yes, 2005
This paper proposes a Hierarchical Nonparmetric Discriminant Analysis (HNDA) content-based image retrieval (CBIR) system for E-Business applications. It has the potential to become an important and integral component for future e-Business applications ...
K.-P. Chung   +3 more
core   +1 more source

Adaptive image retrieval using a graph model for semantic feature integration [PDF]

open access: yes, 2006
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selection and integration for effective retrieval.
Urban, J.   +4 more
core   +1 more source

YlmG1 is localized exclusively to the chloroplast envelope membrane and is involved in preprotein translocation in Arabidopsis thaliana

open access: yesFEBS Open Bio, EarlyView.
Cytosolically synthesized chloroplast preproteins are translocated across the outer and inner envelope membranes through translocons called TOC and TIC, respectively. In green algae and plants, the TIC core is composed of essential membrane proteins, Tic12, Tic20, and Tic214.
Mengyi Li, Xueyang Zhao, Masato Nakai
wiley   +1 more source

CONTENT-BASED IMAGE RETRIEVAL USING EXPRESSION SENSITIVITY BY FUZZY INFERENCE SYSTEM

open access: yesJurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2015
Image retrieval can be divided into two types context-based and the content-based. Image retrieval based on the content refers to the image features such as color, texture, shape, semantics or sensations.
Sukmawati Nur Endah   +2 more
doaj   +1 more source

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