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Computational, label, and data efficiency in deep learning for sparse 3D data
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
Computer Vision – ECCV 2022
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Informatics and Management Science IV
The International Conference on Informatics and Management Science (IMS) 2012 will be held on November 16-19, 2012, in Chongqing, China, which is organized by Chongqing Normal University, Chongqing University, Shanghai Jiao Tong University, Nanyang Technological University, University of Michigan, Chongqing University of Arts and Sciences, and sponsored by National Natural Science Foundation of China (NSFC). The objective of IMS 2012 is to facilitate an exchange of information on best practices for the latest research advances in a range of areas. Informatics and Management Science contains over 600 contributions to suggest and inspire solutions and methods drawing from multiple disciplines including: Computer Science Communications and Electrical Engineering Management Science Service Science Business Intelligence
Minding Glial Cells in the Novel Understandings of Mental Illness
Traditionally, abnormalities of neurons and neuronal networks including synaptic abnormalities and disturbance of neurotransmitters have dominantly been believed to be the main causes of psychiatric disorders. Recent cellular neuroscience has revealed various unknown roles of glial cells such as astrocytes, oligodendrocytes and microglia. These glial cells have proved to continuously contact with neurons /synapses, and have been shown to play important roles in brain development, homeostasis and various brain functions. Beyond the classic neuronal doctrine, accumulating evidence has suggested that abnormalities and disturbances of neuron-glia crosstalk may induce psychiatric disorders, while...
Advances in Integrative Medicine for Neurodegenerative Diseases: From Basic Research to Clinical Practice
Neurodegenerative diseases (NDs) are disorders characterized by progressive loss of neurons and may finally lead to severe impairments even death. NDs are age-dependent disorders, growing evidence suggests that nearly all aged brains exhibit characteristic changes that are associated with neurodegeneration. As the global rapidly aging population, the prevalence of NDs is which have become the most dreaded disease of aged people. Studies report that the expenses of these older patients with NDs exceed the total medical expenses of patients with cancer and cardiovascular diseases.
Rebirth: No.1 Farmer Girl
Guilin Huanhuan, who had felt guilty for his entire life, had been reborn. After her rebirth, she vowed to make up for a mistake she made in her previous life. She had finally rescued her adoptive mother, and on the way back, she had abused and fought over the highest quality goods. She had lived an exciting life. However, there was always a person who showed up soundlessly. In the end, Gu Lin Huan couldn't hold it in anymore. Hey, they all say you're my boyfriend! Someone smiled, didn't they?
Glia in Health and Disease
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Information Security and Cryptology
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Information Security and Cryptology, Inscrypt 2016, held in Beijing, China, in November 2016. The 32 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on symmetric ciphers; public-key cryptosystems; signature and authentication; homomorphic encryption; leakage-resilient; post-quantum cryptography; commitment and protocol; elliptic curves; security and implementation.
Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields
In dieser Arbeit werden spektral kodierte multispektrale Lichtfelder untersucht, wie sie von einer Lichtfeldkamera mit einem spektral kodierten Mikrolinsenarray aufgenommen werden. Für die Rekonstruktion der kodierten Lichtfelder werden zwei Methoden entwickelt, eine basierend auf den Prinzipien des Compressed Sensing sowie eine Deep Learning Methode. Anhand neuartiger synthetischer und realer Datensätze werden die vorgeschlagenen Rekonstruktionsansätze im Detail evaluiert. -In this work, spatio-spectrally coded multispectral light fields, as taken by a light field camera with a spectrally coded microlens array, are investigated. For the reconstruction of the coded light fields, two methods, one based on the principles of compressed sensing and one deep learning approach, are developed. Using novel synthetic as well as a real-world datasets, the proposed reconstruction approaches are evaluated in detail.
