Results 11 to 20 of about 54,662 (305)
THE GAP IS SEMANTIC, NOT EPISTEMOLOGICAL [PDF]
Ratio, 2007 AbstractThis paper explores an alternative to the metaphysical challenge to physicalism posed by Jackson and Kripke and to the epistemological one exemplified by the positions of Nagel, Levine and McGinn. On this alternative the mind‐body gap is neither ontological nor epistemological, but semantic.
D'Oro, G, D'Oro
openaire +3 more sources
Bridging the Music Semantic Gap
, 2006 The reported research has been funded by the EU-FP6-IST-507142 project SIMAC (Semantic Interaction with Music Audio Contents).
Celma Herrada, Òscar +2 more
openaire +2 more sources
Bridging the Gap: Query by Semantic Example [PDF]
IEEE Transactions on Multimedia, 2007 A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabulary of visual concepts, as is usual in SR. Each image is then represented by a vector, referred to as a semantic multinomial, of posterior concept probabilities.
Nikhil Rasiwasia +2 more
openaire +2 more sources
Graph Regularized Hierarchical Diffusion Process With Relevance Feedback for Medical Image Retrieval
IEEE Access, 2021 Befitting from the interpretability and the capacity in capturing the underlying manifold structure, diffusion process (DP) has attracted increasing attention in the field of image retrieval.
Liming Xu +4 more
doaj +1 more source
Exploring the Semantic Gap for Movie Recommendations [PDF]
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017 In the last years, there has been much attention given to the semantic gap problem in multimedia retrieval systems. Much effort has been devoted to bridge this gap by building tools for the extraction of high-level, semantics-based features from multimedia content, as low-level features are not considered useful because they deal primarily with ...
ELAHI, MEHDI +5 more
openaire +3 more sources
Semantic Based Image Retrieval-A Survey
Acta Infologica, 2021 As a result of rapid technological development, operating with massive data has become a common situation. There is a need for machine learning to process these data and extract meaningful information, and make a decision from them.
Akif Gaşi +2 more
doaj +1 more source
MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation
Applied Sciences, 2020 Fundus blood vessel image segmentation plays an important role in the diagnosis and treatment of diseases and is the basis of computer-aided diagnosis.
Hongwei Ding +3 more
doaj +1 more source
AN OBJECT PROPERTIES FILTER FOR MULTI-MODALITY ONTOLOGY SEMANTIC IMAGE RETRIEVAL
Journal of ICT, 2017 Ontology is a semantic technology that provides the possible approach to bridge the issue on semantic gap in image retrieval between low-level visual features and high-level human semantic.
Mohd Suffian Sulaiman +2 more
doaj +3 more sources
A Domain Adaptive Semantic Segmentation Network Based on Improved Transformation Network
Shanghai Jiaotong Daxue xuebao, 2021 Due to the high cost and time-consumption of artificial semantic tags, domain-based adaptive semantics segmentation is very necessary. For scenes with large gaps or pixels, it is easy to limit model training and reduce the accuracy of semantic ...
ZHANG Junning, SU Qunxing, WANG Cheng, XU Chao, LI Yining
doaj +1 more source
Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation
IEEE Access, 2019 Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper proposes
Juli Zhang +3 more
doaj +1 more source