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	Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 580 Reviews about "Pattern Recognition (I.5)": Date Reviewed   A deep learning technique for intrusion detection system using a recurrent neural networks based framework Kasongo S. Computer Communications 199113-125, 2023.  Type: Article So let’s assume you already know and understand that artificial intelligence’s main building blocks are perceptrons, that is, mathematical models of neurons. And you know that, while a single perceptron is too limited to get “int... Jan 19 2024    A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data Murray J., Philipson P. Computational Statistics & Data Analysis 170(1): 1-15, 2022.  Type: Article Many longitudinal clinical studies involve the repeated periodic measurement of continuous responses over a period to detect any changes that might occur in the condition of the individual, such as events of interest like survival after 90 days. I... May 4 2023   Multimodal scene understanding Ying Yang M., Rosenhahn B., Murino V., ACADEMIC PRESS, London, UK, 2019. 412 pp.  Type: Book (978-0-128173-58-9) This edited book on multimodal scene understanding focuses on algorithms, applications, and deep learning. The topic of multimodal scene understanding is related to computer vision. The book’s 12 chapters are by several autho... Aug 3 2021   Fuzzy collaborative forecasting and clustering: methodology, system architecture, and applications Chen T., Honda K., Springer International Publishing, New York, NY, 2019. 100 pp.  Type: Book (978-3-030225-73-5) Collaborative machine learning (ML)--sometimes known as federated ML--has been gaining momentum in the last few years for several in-demand reasons, including privacy-preserving data analysis, sharing complex computat... Jun 14 2021   Gradient algorithms for complex non-Gaussian independent component/vector extraction, question of convergence Koldovský Z., Tichavský P. IEEE Transactions on Signal Processing 67(4): 1050-1064, 2019.  Type: Article Blind source separation/extraction (BSS/BSE) methods are widely applicable, from wireless communication to cosmic explorations. They are subsets of blind signal processing, used in original source waveform estimation, without relying o... May 13 2021   Collaborative intelligent cross-camera video analytics at edge: opportunities and challenges Pasandi H., Nadeem T.  AIChallengeIoT 2019 (Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, New York, NY, Nov 10-13, 2019) 15-18, 2019.  Type: Proceedings Monitoring cameras are now deployed on many city corners. When things happen, law enforcement units or other agencies can search the video feed from those cameras, either in real time or afterwards. The current approach is to send all ... Feb 19 2021   Image texture analysis: foundations, models and algorithms Hung C., Song E., Lan Y., Springer International Publishing, New York, NY, 2019. 258 pp.  Type: Book (978-3-030137-72-4) Texture analysis plays an important role in machine vision and pattern recognition. Along with the emergence of artificial intelligence (AI) comes an increase in applications requiring image texture analysis. Deep learning (DL)-based a... Feb 18 2021   Visual and text sentiment analysis through hierarchical deep learning networks Chaudhuri A., Springer International Publishing, New York, NY, 2019. 120 pp.  Type: Book This book is on the extraction of sentiments from text/image data using machine learning. It describes research related to developing a deep learning technique for the extraction. The technique uses hierarchical gated feedback recurren... Jan 25 2021   Mixture models and applications Bouguila N., Fan W., Springer International Publishing, New York, NY, 2019. 355 pp.  Type: Book (978-3-030238-75-9) Mixture models refer to the fact that many datasets have an internal structure that can be better analyzed with more than one probability distribution as models for the data. These two (or more) models may be more or less mixed in term... Jan 18 2021   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: (2 of 2) Image captioning is an intriguing problem in the field of computer vision: given an input image, come up with suitable concise text that verbalizes that image well. This is currently a hot topic in the context of image understanding, a... Jun 29 2020       Display 510152550100 per page
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