In this paper, we propose a novel method for robustly classifying visual concepts. In order to achieve this aim, we propose a scheme that relies on Self ...
In this paper, we propose a novel method for robustly classifying visual concepts. In order to achieve this aim, we propose a scheme that relies on Self ...
In this paper, we propose a new supervised method for color image classification based on selforganizing feature maps (SOFM). This algorithm is based on ...
Grégoire Lefebvre, Christophe Garcia: A heterogeneous descriptor fusion process for visual concept identification. FUSION 2008: 1-8. manage site settings.
Heterogeneous feature structure fusion for classification
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We propose a new unsupervised heterogeneous structure fusion (HSF) algorithm that is able to jointly optimize two kinds of structures explicitly and directly ...
Missing: identification. | Show results with:identification.
... A heterogeneous descriptor fusion process for visual concept identification | In this paper, we propose a novel method for robustly classifying visual concepts.
[PDF] Heterogeneous Visual Features Fusion via Sparse Multimodal ...
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To better understand, search, and classify image and video information, many visual feature descriptors have been proposed to describe elementary visual ...
Jun 22, 2015 · This paper aims to apply the success of static image semantic recognition to the video domain, by leveraging both static and motion based ...
Missing: visual identification.
Visual concept is defined by human and it has only one corresponding classifier in usual method are the negative aspects. This approach has proposed concept ...
Apr 24, 2023 · The proposed fusion model is a unique strategy that uses a multilayer approach to identify the different objects in the AVs contextual systems.