Results 11 to 20 of about 3,628,932 (297)
Left posterior BA37 is involved in object recognition: a TMS study [PDF]
, 2000 Functional imaging studies have proposed a role for left BA37 in phonological retrieval, semantic processing, face processing and object recognition. The present study targeted the posterior aspect of BA37 to see whether a deficit, specific to one of the
Stewart, Lauren +11 more
core +9 more sources
SatGeo-NeRF: Geometrically Regularized NeRF for Satellite Imagery [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesWe present SatGeo-NeRF, a geometrically regularized NeRF for satellite imagery that mitigates overfitting-induced geometric artifacts observed in current state-of-the-art models using three model-agnostic regularizers.
V. Wagner +3 more
doaj +1 more source
Object Recognition with and without Objects [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 While recent deep neural networks have achieved a promising performance on object recognition, they rely implicitly on the visual contents of the whole image. In this paper, we train deep neural networks on the foreground (object) and background (context) regions of images respectively.
Zhuotun Zhu, Lingxi Xie, Alan L. Yuille
openaire +3 more sources
Probabilistic, Features-Based Object Recognition [PDF]
, 2008 Object recognition is of fundamental importance in computer vision. In a few years, pedestrian detection, car detection, and more generally scene recognition will likely be reliable enough to allow fully-automated car navigation, and the human driver ...
Moreels, Pierre
core +1 more source
Nikol’skii–Type Inequalities for Trigonometric Polynomials for Lorentz–Zygmund Spaces
Journal of Function Spaces, 2020 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
doaj +1 more source
Causal neural mechanisms of context-based object recognition
eLife, 2021 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
doaj +1 more source
Geometric feature distributions for shape representation and recognition. [PDF]
, 1994 One of the fundamental problems in computer vision is the identification of objects from their shape. The research reported in this thesis is directed toward the development of a scheme for representing the shape of an object which allows it to be ...
Evans, Alun C
core +6 more sources
Active exploration and keypoint clustering for object recognition [PDF]
, 2008 Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge this problem, we discuss an active approach to object recognition. Instead of
Bart de Boer +13 more
core +1 more source
Reiteration Formulae for the Real Interpolation Method Including L or R Limiting Spaces
Journal of Function Spaces, 2020 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
doaj +1 more source
The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation—A Simulation Study
Frontiers in Physiology, 2020 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
doaj +1 more source