Results 111 to 120 of about 5,294,225 (254)
Visual scene recognition with biologically relevant generative models
, 2014 This research focuses on developing visual object categorization methodologies that are based on machine learning techniques and biologically inspired generative models of visual scene recognition. Modelling the statistical variability in visual patterns,
Azim, Tayyaba
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Автоматизация технологических и бизнес-процессов. As of today, computer vision systems are continuously developing and systematically improving. Machines see visual content in the form of numbers, in which each pixel represents its own piece of information.
V. Vodyanitskyi, V. Yuskovych-Zhukovska
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Towards the unification of structural and statistical pattern recognition
, 2012 Institute of Computer Science, Pattern Recognition Group (PRG)Emeriti, Faculty of ScienceInstitute of Computer ...
Bunke, Horst, Riesen, Kaspar
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FEBS Open Bio, EarlyView.KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura +19 more
wiley +1 more source
Active vision of bees in a simple pattern discrimination task
eLifeActive vision, the sensory-motor process through which animals dynamically adjust visual input to sample and prioritise relevant information via photoreceptors, eyes, head, and body movements, is well-documented across species.
HaDi MaBouDi +5 more
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FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Visual memory of meaningless shapes in children and adolescents with autism spectrum disorders.
Iranian Journal of Psychiatry, 2012 Visual memory is an important cognitive ability, which has been studied in individuals with Autism Spectrum Disorders (ASDs). In such studies meaningful shapes were used more frequently.
Maryam Salmanian +3 more
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Research on Face Recognition Method Based on Sparse Learning and Significance [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem of poor face recognition and low recognition rate in complex environment,the algorithm of extracting facial features by sparse learning and significance theory is proposed in this paper.Through the sparse coding theory to simulate ...
KONG Yinghui,YIN Ziwei,CHE Linlin
doaj
Graph-structured representations for visual question answering
, 2017 This paper proposes to improve visual question answering (VQA) with structured representations of both scene contents and questions. A key challenge in VQA is to require joint reasoning over the visual and text domains.
Teney, D. +5 more
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Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source