Results 1 to 10 of about 20,434 (158)
Handling Occlusions with Franken-Classifiers [PDF]
2013 IEEE International Conference on Computer Vision, 2013 Detecting partially occluded pedestrians is challenging. A common practice to maximize detection quality is to train a set of occlusion-specific classifiers, each for a certain amount and type of occlusion. Since training classifiers is expensive, only a handful are typically trained.
Markus Mathias +2 more
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Dynamic integration of classifiers for handling concept drift [PDF]
Information Fusion, 2008 In the real world concepts are often not stable but change with time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may change over time as new pathogen strains develop resistance to antibiotics that were previously effective.
Alexey Tsymbal +2 more
exaly +4 more sources
Sensors, 2022 Addressing data anomalies (e.g., garbage data, outliers, redundant data, and missing data) plays a vital role in performing accurate analytics (billing, forecasting, load profiling, etc.) on smart homes’ energy consumption data.
K Purna Prakash +2 more
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Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance [PDF]
Frontiers in NeuroroboticsThree-way decision with neighborhood rough sets (3WDNRS) is effective in handling uncertain problems involving continuous data through the adjustment of the neighborhood radius. However, it faces two main limitations. Firstly, 3WDNRS relies on individual
Yongqi Wang +5 more
doaj +2 more sources
Design, framework and benchmark of safety monitors for black-box classifiers [PDF]
Scientific ReportsThe last decade has seen a surging opportunity for developing autonomous systems (e.g., fully autonomous driving, computer-guided robotic surgery, mobile robots for inspections and surveillance, and manufacturing robots) to relieve the human workforce ...
Fahad Ahmed Khokhar +4 more
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Interspeech 2017, 2017 The field of paralinguistics is growing rapidly with a wide range of applications that go beyond recognition of emotions, laughter and personality. The research flourishes in multiple directions such as signal representation and classification, addressing the issues of the domain.
Heysem Kaya, Alexey Karpov
exaly +3 more sources
IEEE Access, 2022 Deep learning (DL) classifiers have significantly outperformed traditional likelihood-based or feature-based classifiers for signal modulation recognition in non-cooperative environments.
Sangkyu Kim, Hae-Yong Yang, Daeyoung Kim
doaj +1 more source
Comparative Analysis of Rumour Detection on Social Media Using Different Classifiers
Информатика и автоматизация, 2023 As the number of users on social media rise, information creation and circulation increase day after day on a massive basis. People can share their ideas and opinions on these platforms.
Manya Gidwani, Ashwini Rao
doaj +1 more source
Journal of Big Data, 2021 The process of big data handling refers to the efficient management of storage and processing of a very large volume of data. The data in a structured and unstructured format require a specific approach for overall handling.
Chitrakant Banchhor, N. Srinivasu
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WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets
Eng, 2023 This article addresses the challenges of selecting robust classifiers with increasing noise levels in real-world scenarios. We propose the WB Score methodology, which enables the identification of reliable classifiers for deployment in noisy environments.
Wagner S. Billa +2 more
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