搜索结果: 31-45 共查到“工学 Neural”相关记录260条 . 查询时间(0.376 秒)
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...
The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The conference is or...
Welcome to the 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN2017) website. Wearable biosensors are becoming increasingly pervasive. Although many of these device...
2017年神经系统模式识别和计算机视觉的计算研讨会（2017 Workshop on Computational Aspects of Pattern Recognition and Computer Vision with Neural Systems）
2017年 神经系统模式识别 计算机视觉的计算 研讨会
2017/3/21
Computational requirements on information processing systems are nowadays enormous - not only huge amounts of data needs to be processed and classified but also the systems need to deal with massive d...
2017年神经接口先进生物材料研讨会（Symposium SM3—Advanced Biomaterials for Neural Interfaces）
2017年 神经接口先进生物材料 研讨会
2017/3/9
The convergence of biomaterials and electronic devices provides an intellectual landscape that spans a variety of disciplines including materials science and engineering, physics, chemistry, polymer s...
2017年国际神经信息处理会议（International Conference on Neural Information Processing）
2017年 神经信息处理 国际会议
2017/3/9
The 24th International Conference on Neural Information Processing will be held in Guangzhou, China, November 14–18, 2017. It is an annual event, organized since 1994 by the Asia Pacific Neural Networ...
Stanford researchers create a high-performance,low-energy artificial synapse for neural network computing
Stanford researchers high-performance low-energy artificial synapse neural network computing
2017/3/14
For all the improvements in computer technology over the years, we still struggle to recreate the low-energy, elegant processing of the human brain. Now, researchers at Stanford University and Sandia ...
2017年国际神经网络联合会议（The 2017 International Joint Conference on Neural Networks）
2017年 国际神经网络联合 会议
2017/2/14
The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The ...
Following the successes of previous events, the 14th International Symposium on Neural Networks (ISNN 2017) will be held in Sapporo, Hokkaido, Japan. Located in northern island of Hokkaido, Sapporo is...
COSTAL BATHYMETRY ESTIMATION FROM MULTISPECTRAL IMAGE WITH BACK PROPAGATION NEURAL NETWORK
Bathymetry Multispectral Image Stereo Image Back Propagation Neural Network
2016/12/1
Bathymetric data in coastal area are important for marine sciences, hydrological applications and even for transportation and military purposes. Compare to traditional sonar and recent airborne bathym...
INTERVAL TYPE-2 FUZZY BASED NEURAL NETWORK FOR HIGH RESOLUTION REMOTE SENSING IMAGE SEGMENTATION
Interval Type-2 Fuzzy Model High Resolution Remote Sensing Image Footprint of Uncertainty Image Segmentation Neuron Networks
2016/11/23
Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segme...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
BOUNDARY DEPTH INFORMATION USING HOPFIELD NEURAL NETWORK
Boundary Stereo Matching Depth Information Optimization Discontinuity Hopfield Neural Network
2016/11/11
Depth information is widely used for representation, reconstruction and modeling of 3D scene. Generally two kinds of methods can obtain the depth information. One is to use the distance cues from the ...
KNOWLEDGE BASED 3D BUILDING MODEL RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS FROM LIDAR AND AERIAL IMAGERIES
Deep Learning Convolutional Neural Network Pattern Recognition LiDAR 3D Building Model
2016/7/28
In recent years, with the development of the high resolution data acquisition technologies, many different approaches and algorithms have been presented to extract the accurate and timely updated 3D m...
SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING DATA USING CONVOLUTIONAL NEURAL NETWORKS
Single-Image Super Resolution Deep Learning Convolutional Neural Networks Sentinel-2
2016/7/28
In optical remote sensing, spatial resolution of images is crucial for numerous applications. Space-borne systems are most likely to be affected by a lack of spatial resolution, due to their natural d...