Event-related potentials (ERP)-based image triage (or search) in the context of Rapid Serial Visual Presentation (RSVP) exploits difference in the human brain response to target and distracted stimuli in the form of an image. So far, most paradigms focus on image triage (or search) among rough object categories. In this paper, we explored the possibility and effectiveness of target detection among finer categories like different animals. We analyzed on the difference of ERP components in two image search tasks, a simple-recognition task in which all images of a target are the same and a discriminative-recognition task in which all images are randomly different but belong to the same target category (the same kind of animal). We observed that the P3 amplitude reduced and the P3 latency delayed on the discriminative-recognition condition due to the increased difficulty of identifying different images belonging to the same category. But the average area under ROC curve reached 0.82 which indicated that rapid target detection among finer categories by single-trial ERP were feasible with trivial contribution of N1 and stable contribution of N2 and P3.
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http://dx.doi.org/10.1109/EMBC.2013.6610194 | DOI Listing |
Sci Data
November 2024
School of Geography, Nanjing Normal University, Nanjing, 210023, China.
The Loess Plateau is a region of importance in geomorphologic research because of its typical loess layers and intense surface erosion. Analysing the landforms on the Loess Plateau is helpful for understanding changes in the surface environment. However, geomorphologic data with high resolution are lacking for the Loess Plateau, which limits the progress of geomorphologic studies at finer scales.
View Article and Find Full Text PDFNeural Netw
February 2025
Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China; Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing, Shandong Fundamental Research Center for Computer Science, Jinan, 250014, China. Electronic address:
Few-Shot Anomaly Detection (FSAD) in industrial images aims to identify abnormalities using only a few normal images, which is crucial for industrial scenarios where sample training is limited. The recent advances in large-scale pre-trained visual-language models have brought significant improvements to the FSAD, which typically requires hundreds of text prompts to be manually crafted through prompt engineering. However, manually designed text prompts cannot accurately match the informative features of different categories across diverse images, and the domain gap between train and test datasets can severely impact the generalization capability of text prompts.
View Article and Find Full Text PDFCardiovasc Diabetol
October 2024
Department of Social Epidemiology, Graduate School of Medicine, Kyoto University, Yoshida-Konoecho, Sakyo-Ku, Kyoto-Shi, Kyoto, 6068315, Japan.
Proc Natl Acad Sci U S A
October 2024
Department of Oncology, University of Oxford, Oxford OX3 7DQ, United Kingdom.
The poor prognosis of relatively undifferentiated cancers has long been recognized, suggesting that selection against differentiation and in favor of uncontrolled growth is one of the most powerful drivers of cancer progression. Goblet cells provide the mucous surface of the gut, and when present in colorectal cancers (CRC), the cancers are called mucinous. We have used the presence of MUC2, the main mucous product of goblet cells, and an associated gene product, TFF3, to classify a large panel of nearly 80 CRC-derived cell lines into five categories based on their levels of MUC2 and TFF3 expression.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
December 2024
In point cloud, some regions typically exist nodes from multiple categories, i.e., these regions have both homophilic and heterophilic nodes.
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