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检索条件"任意字段=21st Brazilian Symposium on Computer Graphics and Image Processing"
214 条 记 录,以下是211-220 订阅
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FPGA Based Reconfigurable Coprocessor for Deep Convolutional Neural Network Training
FPGA Based Reconfigurable Coprocessor for Deep Convolutional...
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Euromicro symposium on Digital System Design
作者: Sajna Remi Clere Sachin Sethumadhavan Kuruvilla Varghese Indian Institute of Science (IISc) Bangalore Indian Institute of Science Bangalore Karnataka IN
Deep Convolutional Neural Network (DCNN) is a class of machine learning algorithms that has wide application in pattern recognition, image recognition and video analysis. Convolutional layers in the network extract va... 详细信息
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Automatic building identification using gps and machine learning
Automatic building identification using gps and machine lear...
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IEEE International symposium on Geoscience and Remote Sensing (IGARSS)
作者: Robert Woodleya Warren Nolla Joseph Barkera Donald C. Wunsch 21st Century Systems Inc. 6825 Pine Street Suite 141 Omaha Nebraska 68106 USA Missouri University of Science and Technology Rolla MO USA
Video sensor capabilities and sophistication has improved to the point that they are being utilized in vast and diverse applications. Many such applications are now on the verge of providing too much video information... 详细信息
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Digital Tracking Cloud Distributed Architecture for Detection of Faint NEAs
Digital Tracking Cloud Distributed Architecture for Detectio...
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International symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
作者: Roxana E. Sichitiu Marc E. Frincu Ovidiu Vaduvescu West University of Timisoara Timisoara Romania Computer Science Department West University of Timisoara Timisoara Romania Astronomy department Isaac Newton Group Spain School of Doctoral Sciences University of Craiova Romania
There is an exponential volume of captured images, millions of captures taken every night being processed and scrutinized. Big Data analysis has become essential for the study of the solar system, discovery and orbita...
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Classification of Animal Species Using a Deep Neural Network-Based Feature Extraction Method
Classification of Animal Species Using a Deep Neural Network...
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International symposium on High Capacity Optical Networks and Enabling Technologies, HONET
作者: Mohammed Ibrahim Khamis Al-Kubaise Ali Alkapti Abdullah AlMusa Osama Abdelaziz Somaya Al-maadeed Kishor Kumar Sadasivuni Computer Science and Engineering Department Qatar University Doha Qatar Center for Advanced Materials Qatar University Doha Qatar
This study presents an innovative approach to animal classification and recognition utilizing machine learning and deep learning methodologies. Leveraging advanced algorithms, the proposed system achieves remarkable a... 详细信息
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