RGB大神的论文集：RCNN,Fast_RCNN,Faster_RCNN,R_FCN,DCNN论文打包，Rich feature hierarchies for accurate object detection and semantic segmentation、Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks、R-FCN: Object Detection via Region-ba
Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to be spatially invariant to the input data in a computationally and parameter efficient manner. In this work we introduce a
“Lecture Notes in Electrical Engineering (LNEE)” is a book series which reports the latest research and developments in Electrical Engineering, namely: • Communication, Networks, and Information Theory • Computer Engineering • Signal, Image, Speech
What You’ll Learn Understand the implementation of basic data types and why using the correct type is so important Work with XML data through the XML data type Construct XML data from relational result sets Store and manipulate JSON data using the J
Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current r
R语言之Use R!系列 a beginer's Guide to R (use R).pdf7.21 MB Analysis of Phylogenetics and Evolution with R (use R).pdf1.07 MB Applied Econometrics with R (Use R).pdf3.7 MB Applied Spatial Data Analysis with R (use R).pdf7.47 MB Applied Statistical Geneti
Cellular automata (CA) models are widely used to simulate landuse changes because of their simplicity, flexibility, intuitiveness and ability to incorporate the spatial and temporal dimensions of processes. A small number of CA-based models have been
This volume (LNCS 10366) and its companion volume (LNCS 10367) contain the proceedings of the first Asia-Pacific Web (APWeb) and Web-Age Information Man- agement (WAIM) Joint Conference on Web and Big Data, called APWeb-WAIM. This new joint conferen
Our lifestyle is changing dramatically with the ubiquity of mobile devices and network connectivity. By seamlessly collecting advanced data related to human activity, and providing responsive actions and services to users, developers can maximize th
包括Salinas和Salinas-A This scene was collected by the 224-band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels). The area covered comprises 512 lines by 217 samples. As with Indian Pines
The NASA AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) instrument acquired data over the Kennedy Space Center (KSC), Florida, on March 23, 1996. AVIRIS acquires data in 224 bands of 10 nm width with center wavelengths from 400 - 2500 nm. T
Recent years have witnessed a deluge of network data propelled by the emerging online social media, user-generated video contents, and global-scale communi- cations, bringing people into the era of big data. Such network big data holds much critical
