Results 91 to 100 of about 1,525,474 (355)

Object Recognition in System FOTOM [PDF]

Acta Montanistica Slovaca, 2004
The recognition of points of interest leads to the detection and consequent specification of the values of Xí and Yi coordinates. The result is a data file of the coordinates. The problem domain is divided into two parts.The first part of the paper deals
Lièev Laèezar
doaj  

The Importance of Visual Features in Generic versus Specialized Object Recognition: A Computational Study

Frontiers in Computational Neuroscience, 2014
It is debated whether the representation of objects in inferior temporal (IT) cortex is distributed over activities of many neurons or there are restricted islands of neurons responsive to a specific set of objects.
Masoud eGhodrati, Masoud eGhodrati, Masoud eGhodrati, Karim eRajaei, Karim eRajaei, Reza eEbrahimpour, Reza eEbrahimpour   +6 more
doaj   +1 more source

Learning image components for object recognition [PDF]

, 2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or features.
Spratling, Michael W
core   +1 more source

Interaction vesicles as emerging mediators of host‐pathogen molecular crosstalk and their implications for infection dynamics

FEBS Letters, EarlyView.
Interaction extracellular vesicles (iEVs) are hybrid vesicles formed through host‐pathogen communication. They facilitate immune evasion, transfer pathogens' molecules, increase host cell uptake, and enhance virulence. This Perspective article illustrates the multifunctional roles of iEVs and highlights their emerging relevance in infection dynamics ...
Bruna Sabatke, Izadora Volpato Rossi, Marcel I. Ramirez   +2 more
wiley   +1 more source

SiMOR: Single Moving Object Recognition

Journal of Intelligent Systems, 2011
Automatic moving object detection and tracking is very important task in video surveillance applications. In the present work the well known background subtraction model and use of Gaussian Mixture Models (GMM) have been used to implement a robust ...
Gopala Krishna M. T., Ravishankar M., Ramesh Babu D. R., Manjunath Aradhya V. N.   +3 more
doaj   +1 more source

Latent Bi-constraint SVM for Video-based Object Recognition [PDF]

arXiv, 2016
We address the task of recognizing objects from video input. This important problem is relatively unexplored, compared with image-based object recognition. To this end, we make the following contributions. First, we introduce two comprehensive datasets for video-based object recognition.
arxiv  

A neural network model of visual object recognition impairment after brain damage [PDF]

, 1998
Dysfunction of the visual object recognition system in humans is briefly discussed and a basic connectionist model of visual object recognition is introduced. Experimentation in which two variants of this model are lesioned is undertaken.
Davey, N., Frank, R., Gale, T.M., George, S.   +3 more
core  

STAT3 expression is reduced in cardiac pericytes in HFpEF and its loss reduces cellular adhesion and induces pericyte senescence

FEBS Letters, EarlyView.
Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek, Ariane Fischer, Mariano Ruz Jurado, Anita Tamiato, Tara Procida‐Kowalski, Jochen Wilhelm, Dennis Hecker, Maximilian Merten, Felicitas Escher, Badder Kattih, Valentina Puntmann, David John, Marcel H. Schulz, Eike Nagel, Stefanie Dimmeler, Guillermo Luxán   +15 more
wiley   +1 more source

Breaking object correspondence across saccadic eye movements deteriorates object recognition

Frontiers in Systems Neuroscience, 2015
Visual perception is based on information processing during periods of eye fixations that are interrupted by fast saccadic eye movements. The ability to sample and relate information on task-relevant objects across fixations implies that correspondence ...
Christian H. Poth, Arvid eHerwig, Werner X. Schneider   +2 more
doaj   +1 more source

Processing chain for 3D histogram of gradients based real-time object recognition

International Journal of Advanced Robotic Systems, 2021
3D object recognition has been a cutting-edge research topic since the popularization of depth cameras. These cameras enhance the perception of the environment and so are particularly suitable for autonomous robot navigation applications.
Cristian Vilar, Silvia Krug, Benny Thörnberg   +2 more
doaj   +1 more source