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THERMALNET: A DEEP CONVOLUTIONAL NETWORK FOR SYNTHETIC THERMAL IMAGE GENERATION
infrared images augmented reality object recognition deep convolutional neural networks
2017/6/19
Deep convolutional neural networks have dramatically changed the landscape of the modern computer vision. Nowadays methods based on deep neural networks show the best performance among image recogniti...
CONVOLUTIONAL NEURAL NETWORK FOR CAMERA POSE ESTIMATION FROM OBJECT DETECTIONS
Camera Pose CNN Head Detection Computer Graphics
2017/6/19
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this paper, we propose a novel method for camera pose estimation based on people...
Integrated Multimedia Based Intelligent Group Decision Support System for Electrical Power Network
Integrated Multimedia Intelligent Group Decision Support System Electrical Power Network
2009/12/8
Electrical Power Network in recent time requires an intelligent, virtual environment based decision process for the coordination of all its individual elements and the interrelated tasks. Its ultimate...
Qualitative Analysis in Locally Coupled Neural Oscillator Network
neural network limit cycle synchronization dynamic system
2013/7/16
The paper investigates a locally coupled neural oscillator autonomous system qualitatively. To obtain analytical results, we choose anapproximation method and obtain the set of parameter values for wh...
NASA Live Digital Network Brings Apollo 11 Experts into Classrooms
NASA Live Digital Network Apollo 11 Experts Classrooms
2009/11/24
Forty years after humans first walked on the moon, NASA is offering the next generation of explorers a chance to learn how the challenges of the Apollo 11 mission were met. Through a series of interac...
Network--Oriented Modeling of Radiating Electromagnetic Structures
radiating electromagnetic structures canonical Foster representation Cauer canonic circuit
2009/7/28
The application of network-oriented modeling for radiating electromagnetic structures is investigated. Network methods are applied to the field problem using the segmentation technique and by specifyi...
Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification
Myoelectric signals artificial neural networks classification
2009/7/27
The aim of this study is to classify electromyogram (EMG) signals for controlling multifunction proshetic devices. An artificial neural network (ANN) implementation was used for this purpose. Autoregr...