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121“…We describe an approach for the automatic modality classification in medical image retrieval task of the 2010 CLEF cross-language image retrieval campaign (ImageCLEF). …”
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122“…Speedup and scaleup are very close to linear changes with an increase of RS images, which proves that image retrieval using our method is efficient.…”
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123“…Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. …”
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124“…One commonly used approach relies on image retrieval where the query input is compared against a database of localized support examples and its pose is inferred with the help of the retrieved items. …”
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125“…To improve production efficiency in the textile industry, we propose the use of content-based image retrieval technology to shorten the fabric production cycle. …”
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126“…Forensic image retrieval and processing are vital tools in the fight against crime e.g. during fingerprint capture. …”
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127por García-Olalla, Oscar, Alegre, Enrique, Fernández-Robles, Laura, Fidalgo, Eduardo, Saikia, Surajit“…Textile based image retrieval for indoor environments can be used to retrieve images that contain the same textile, which may indicate that scenes are related. …”
Publicado 2018
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128por Ferreira de Lucena, David Jones, Ferreira Junior, José Raniery, Machado, Aydano Pamponet, Oliveira, Marcelo Costa“…Thus, finding a way to measure the weight allows improvement of image retrieval process through the assignment of higher weights to that attributes that best characterize the nodules. …”
Publicado 2016
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129“…Image retrieval technology has emerged as a popular research area of China’s development of cultural digital image dissemination and creative creation with the growth of the Internet and the digital information age. …”
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130por Lin, Zhimin, Zeng, Ying, Gao, Hui, Tong, Li, Zhang, Chi, Wang, Xiaojuan, Wu, Qunjian, Yan, Bin“…Target image detection based on a rapid serial visual presentation (RSVP) paradigm is a typical brain-computer interface system with various applications, such as image retrieval. In an RSVP paradigm, a P300 component is detected to determine target images. …”
Publicado 2017
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131por Wang, Xi, Ley, Andreas, Koch, Sebastian, Hays, James, Holmqvist, Kenneth, Alexa, Marc“…In this work we first quantify the similarity of eye movements between recalling an image and encoding the same image, followed by the investigation on whether comparing such pairs of eye movements can be used for computational image retrieval. Our results show that computational image retrieval based on eye movements during spontaneous imagery is feasible. …”
Publicado 2020
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132por Praveena, Hirald Dwaraka, Guptha, Nirmala S., Kazemzadeh, Afsaneh, Parameshachari, B. D., Hemalatha, K. L.“…Simulation results confirmed that the proposed model obtained effective performance in image retrieval in light of specificity, recall, precision, accuracy, and f-score. …”
Publicado 2022
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133“…Moreover, with the database growing, the image retrieval and feature matching are time-consuming. …”
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134Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrievalpor Yuan, Lei, Woodard, Alexander, Ji, Shuiwang, Jiang, Yuan, Zhou, Zhi-Hua, Kumar, Sudhir, Ye, Jieping“…In addition, existing image retrieval systems based on the expression patterns may be made more accurate using keywords. …”
Publicado 2012
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135“…The majority of current deep learning-based image retrieval methods require labeled data, which increase data annotation costs and complicate the acquisition of data. …”
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136“…In this study, we propose an image selection framework for recommending an appropriate image for a part of a report by combining textual information used in text-based image retrieval and visual features used in content-based image retrieval. …”
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137“…Recently, content-based image retrieval (CBIR) based on bag-of-visual-words (BoVW) model has been one of the most promising and increasingly active research areas. …”
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138“…To develop our system, we have divided the work into three phases: preprocessing phase, abnormal human activity detection phase, and content-based image retrieval phase. For motion object detection, we used the temporal-differencing algorithm and then located the motions region using the Gaussian function. …”
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139“…Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithmUnsupervised deep learning Machine vision and image retrieval A review of developments in the t…”
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140Publicado 2006Tabla de Contenidos: “…Knowledge representation and reasoning -- Fuzzy logic and fuzzy control -- Uncertainty and qualitative reasoning -- Evolutionary algorithms and swarm intelligence -- Neural networks -- Optimization and scheduling -- Machine learning and future selection -- Classification -- Knowledge discovery -- Computer vision -- Image processing and image retrieval -- Natural language processing -- Information retrieval and text classification -- Speech processing -- Multiagent systems -- Robotics -- Bioinformatics and medical applications.…”
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