Results 21 to 30 of about 1,525,474 (355)
Is object recognition automatic? [PDF]
A new paradigm is proposed that involves a simple judgment on an object’s perceptual feature that is independent of object identity. Subjects were required to categorize as vertical or horizontal the main axis of elongation of an object picture. Both fake and real-world objects were presented, and a graphical manipulation was applied to their shapes so
Roberto Dell'Acqua, Remo Job
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Causal neural mechanisms of context-based object recognition
Objects can be recognized based on their intrinsic features, including shape, color, and texture. In daily life, however, such features are often not clearly visible, for example when objects appear in the periphery, in clutter, or at a distance ...
Miles Wischnewski, Marius V Peelen
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Nikol’skii–Type Inequalities for Trigonometric Polynomials for Lorentz–Zygmund Spaces
Nikol’skii–type inequalities, that is inequalities between different metrics of trigonometric polynomials on the torus Td for the Lorentz–Zygmund spaces, are obtained. The results of previous paper “Nikol’skii inequalities for Lorentz–Zygmund spaces” are
Leo R. Ya. Doktorski
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Object recognition methods based on RGB-D images
Object recognition is one of the main contents of machine vision research. RGB-D image, which integrates depth features, provides a new way for accuracy improving of object recognition.
Xun LI+5 more
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Reiteration Formulae for the Real Interpolation Method Including L or R Limiting Spaces
We consider a real interpolation method defined by means of slowly varying functions. We present some reiteration formulae including so-called L or R limiting interpolation spaces.
Leo R. Ya. Doktorski
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The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation—A Simulation Study
This simulation study aims to investigate how the Calcium/calmodulin-dependent protein kinase II (CaMKII) overexpression and oxidation would influence the cardiac electrophysiological behavior and its arrhythmogenic mechanism in atria. A new-built CaMKII
Wei Wang+8 more
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A correspondence-based neural mechanism for position invariant feature processing [PDF]
Poster presentation: Introduction We here focus on constructing a hierarchical neural system for position-invariant recognition, which is one of the most fundamental invariant recognition achieved in visual processing [1,2].
Jitsev, Evgueni+3 more
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Recognition of natural objects in the archerfish [PDF]
ABSTRACT Recognition of individual objects and their categorization is a complex computational task. Nevertheless, visual systems can perform this task in a rapid and accurate manner. Humans and other animals can efficiently recognize objects despite countless variations in their projection on the retina due to different viewing angles ...
Svetlana Volotsky+3 more
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Operating System for Runtime Reconfigurable Multiprocessor Systems
Operating systems traditionally handle the task scheduling of one or more application instances on processor-like hardware architectures. RAMPSoC, a novel runtime adaptive multiprocessor System-on-Chip, exploits the dynamic reconfiguration on FPGAs to ...
Diana Göhringer+3 more
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Determinants of object recognition
We demonstrate that performance on an object recognition task can be explained in terms of observer-specific perceptual profiles. These profiles are derived from a battery of tests, including the effects of stereo, texture, outline (occluding contour), and motion cues on amplitude judgements of curved surfaces.
James V. Stone+2 more
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