Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. I
4.1Central pattern generation Decades of experimental work on animal preparations have resulted in a greatly improved level of understanding of the functional organization of a locomotor spinal network calledCentral Pattern Generator(CPG;Grillner and Zangger, 1975; Grillner and Rossignol, 1978; Lovely ...
Li B, Zhu H. Case report: Identification of atypical mantle cell lymphoma with CCND3 rearrangement by next-generation sequencing. Front Oncol. 2023 Mar 29;13:1145376. doi: 10.3389/fonc.2023.1145376. PMID: 37064110; PMCID: PMC10090691.[...
Before exploring potential realizations, let us compare and contrast this scenario with the textbook picture of pattern formation represented in Fig.1d. In its simplest form, pattern formation originates from the linear instability of a homogeneous system: the length scale\({k}_{{\rm{c}}}^{-1...
4. It has been argued that the synchronous mode4, is superior to the asynchronous mode41in terms of propagating activity across many layers, making it a viable solution for temporal pattern generation. Moreover, the synchronous mode, as we show next, can be made to conform to the ...
C/C++ Code Generation Generate C and C++ code using MATLAB® Coder™. Thread-Based Environment Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool. Distributed Arrays Partition large arrays across the combined memory of your...
String array Character vector Cell array of character vectors patternarray(since R2020b) Extended Capabilities expand all Version History Introduced in R2016b Select a Web Site Choose a web site to get translated content where available and see local events and offers. Based on your location, we...
The field of computer vision and pattern recognition has a rich history of nearly 50 years. In the past decade, however, the field has experienced remarkable advances in scene understanding and image generation. This advancement is driven by three key factors: (a) the availability of large, div...
Yan, Xinchen, Jimei Yang, Kihyuk Sohn, and Honglak Lee. "Attribute2image: Conditional image generation from visual attributes." In European Conference on Computer Vision, pp. 776-791. Springer, Cham, 2016. Li, Yining, Chen Huang, Chen Change Loy, and Xiaoou Tang. "Human attribute recognition...
Knowledge and experience are the cornerstones of medicine. In this era of informatics, several decision-support methods are available to assist the physician in his diagnosis-making: systems to support history taking; pattern and signal processing techniques; well-defined data bases of documented diseas...