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1 - 7 of 7
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 Machine learning for earth sciences: using Python to solve geological problems
Petrelli M., Springer International Publishing, Cham, Switzerland, 2023. 209 pp. Type: Book (9783031351136)
Machine learning is everywhere, not just in application areas that we hear about every day. Learning systems have the potential to positively impact society through their application to fields ranging from finance and public health to the earth sc...
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Jan 1 2024 |
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A survey on deep neural network-based image captioning
Liu X., Xu Q., Wang N. The Visual Computer 35(3): 445-470, 2019. Type: Article, Reviews: (1 of 2)
Automated image captioning is the task of generating a useful and accurate description of an image without manual input. An ideal system, when shown an image, generates a summary such as “the mailman is running from a large, ...
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Jul 19 2019 |
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Pattern identification of biomedical images with time series
Yin X., Hadjiloucas S., Zhang Y., Su M., Miao Y., Abbott D. Artificial Intelligence in Medicine 67(C): 1-23, 2016. Type: Article
Various medical imaging modalities exist, with applications to different clinical needs such as oncology, perfusion studies, angiography, musculoskeletal diagnosis, and others. This paper by Yin et al. describes the current state of th...
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May 27 2016 |
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Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval
Verma M., Raman B. Journal of Visual Communication and Image Representation 32(C): 224-236, 2015. Type: Article
Content-based image retrieval (CBIR) is vital for organizing and querying large image sets in useful ways. The general approach is to provide an image, or an image description, and find images that “look like this one....
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Dec 15 2015 |
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Globally optimal joint image segmentation and shape matching based on Wasserstein modes
Schmitzer B., Schnörr C. Journal of Mathematical Imaging and Vision 52(3): 436-458, 2015. Type: Article
At times, the task of understanding the contents of an image has used two sequential steps of segmentation and recognition, without interplay between the two. A better, though more complex, approach is to determine object boundaries as...
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Aug 19 2015 |
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Breast tissue 3D segmentation and visualization on MRI
Song H., Cui X., Sun F. International Journal of Biomedical Imaging 20131-8, 2013. Type: Article
Magnetic resonance imaging (MRI) is a revolutionary imaging technology for many medical applications. The diagnosis of many forms of cancer and other serious conditions is made possible without invasive surgery. However, there is a sig...
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Aug 11 2014 |
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Spectral clustering ensemble for image segmentation
Ma X., Wan W., Jiao L. GEC 2009 (Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, Shanghai, China, Jun 12-14, 2009) 415-420, 2009. Type: Proceedings
Segmentation of difficult images requires highly capable methods for clustering picture elements that comprise scene objects. Frequently, techniques that are ideal on one sort of image are far from ideal on others. Ma, Wan, and Jiao pr...
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Nov 3 2009 |
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