Buscar
Mostrando ítems 11-20 de 3072
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
(2015-12-11)
The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search relies on ...
Semantic Cohesion for Image Annotation and Retrieval
(Revista Computación y Sistemas; Vol. 16 No. 1, 2012-03-05)
Abstract. We present methods for image annotation
and retrieval based on semantic cohesion among terms.
On the one hand, we propose a region labeling
technique that assigns an image the label that
maximizes an estimate ...
Medical image retrieval based on complexity analysis
(SPRINGER, 2010)
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval
(2014-01-28)
This paper presents a novel manifold learning approach that takes into account the intrinsic dataset geometry. The dataset structure is modeled in terms of a Correlation Graph and analyzed using Strongly Connected Components ...
UNSUPERVISED MANIFOLD LEARNING BY CORRELATION GRAPH AND STRONGLY CONNECTED COMPONENTS FOR IMAGE RETRIEVAL
(Ieee, 2014-01-01)
This paper presents a novel manifold learning approach that takes into account the intrinsic dataset geometry. The dataset structure is modeled in terms of a Correlation Graph and analyzed using Strongly Connected Components ...
Web-based diagnosis and medical image retrieval system.
(2011-10-13)
Radiological images represent a high percentage of specialized medical diagnosis.
Although these images contain useful information, their use is limited to access and availability.
Therefore, storage solutions to facilitate ...
Effective, efficient, and scalable unsupervised distance learning in image retrieval tasks
(2015-06-22)
Various unsupervised learning methods have been proposed with significant improvements in the effectiveness of image search systems. However, despite the relevant effectiveness gains, these approaches commonly require high ...
A multi-level rank correlation measure for image retrieval
(2021-01-01)
Accurately ranking the most relevant elements in a given scenario often represents a central challenge in many applications, composing the core of retrieval systems. Once ranking structures encode relevant similarity ...
A Multi-level Rank Correlation Measure for Image Retrieval
(Scitepress, 2021-01-01)
Accurately ranking the most relevant elements in a given scenario often represents a central challenge in many applications, composing the core of retrieval systems. Once ranking structures encode relevant similarity ...
PIXELWISE TIME SERIES RETRIEVAL IN PHENOLOGICAL STUDIES
(Ieee, 2019-01-01)
The support of time series similarity searches might be crucial in phenology studies, in which long-term time series analysis based on the identification of similar and different phenological patterns shared by individuals ...