Results 31 to 40 of about 29,034 (256)

Memory Organization for Invariant Object Recognition and Categorization

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2016
Using distributed representations of objects enables artificial systems to be more versatile regarding inter- and intra-category variability, improving the appearance-based modeling of visual object understanding.
Guillermo Sebastián Donatti
doaj   +1 more source

Transformation of theoretical-methodological approaches and methodical tools of the individual and territory welfare diagnostics. Part 1. From spreading to the alternative diagnostics approaches (background) [PDF]

open access: yesЭкономика региона, 2014
This article presents an evolution of theoretical and methodological approaches to the welfare study. Existing theories of wellbeing are grouped according to accounted method of goods and resources distribution among society members. As a welfare future
Aleksandr Anatolyevich Kuklin   +3 more
doaj   +1 more source

Model category structures on simplicial objects

open access: yes, 2021
A general method for lifting weak factorization systems in a category S to model category structures on simplicial objects in S is described, analogously to the lifting of cotorsion pairs in Abelian categories to model category structures on chain complexes.
openaire   +2 more sources

Compact corigid objects in triangulated categories and co-t-structures [PDF]

open access: yesOpen Mathematics, 2008
Abstract In the work of Hoshino, Kato and Miyachi, [11], the authors look at t-structures induced by a compact object, $$ C $$, of a triangulated category, $$ \mathcal{T} $$, which is rigid in the sense of Iyama and Yoshino, [12]. Hoshino, Kato and Miyachi show that such an object yields a non-degenerate t-structure on $$ \mathcal{T ...
openaire   +3 more sources

Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation [PDF]

open access: yes, 2016
Many objects, especially these made by humans, are symmetric, e.g. cars and aeroplanes. This paper addresses the estimation of 3D structures of symmetric objects from multiple images of the same object category, e.g. different cars, seen from various viewpoints. We assume that the deformation between different instances from the same object category is
Yuan Gao 0015, Alan L. Yuille
openaire   +4 more sources

Category-Level Detection Based On Object Structures

open access: yes, 2008
Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
Alex Y. S. Chia   +3 more
openaire   +3 more sources

VLMs using language-guided inference capture context-sensitivity of human object recognition behavior

open access: yesArray
Human vision is a context-sensitive process that interprets objects in relation to their surroundings. While behavioral research has long shown that scene context facilitates object recognition, the underlying computational mechanisms—and the extent to ...
Karim Rajaei   +2 more
doaj   +1 more source

THE PERFORMANCE EVALUATION OF MULTI-IMAGE 3D RECONSTRUCTION SOFTWARE WITH DIFFERENT SENSORS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Today, multi-image 3D reconstruction is an active research field and generating three dimensional model of the objects is one the most discussed issues in Photogrammetry and Computer Vision that can be accomplished using range-based or image-based ...
V. Mousavi   +5 more
doaj   +1 more source

Reconstruction Error Guided Instance Segmentation for Infrared Inspection of Power Distribution Equipment

open access: yesSensors
The instance segmentation of power distribution equipment in infrared images is a prerequisite for determining its overheating fault, which is crucial for urban power grids. Due to the specific characteristics of power distribution equipment, the objects
Jinbin Luo, Yi Sun, Jian Zhang, Bin Sun
doaj   +1 more source

Neural Networks and Markov Categories

open access: yesAppliedMath
We present a formal framework for modeling neural network dynamics using Category Theory, specifically through Markov categories. In this setting, neural states are represented as objects and state transitions as Markov kernels, i.e., morphisms in the ...
Sebastian Pardo-Guerra   +3 more
doaj   +1 more source

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