Abstract Application of artificial intelligence and Zen space in modern landscape design and topology optimization is studied in this manuscript. With the rapid development of the big data technology, simple …
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures …
Towards Backward-Compatible Representation Learning Read More »
Abstract There is an increasing tension in agriculture between the requirements to assure full safety on the one hand and keep costs under control on the other hand, both with …
Advanced visualization of Big Data for Agriculture as Part of Databio Development Read More »
Abstract Local feature extraction is one of the most im-portant tasks to build robust video representation in humanaction recognition. Recent advances in computing visual features,especially deep-learned features, have achieved excellent …
Distributed Feature Extraction on Apache Spark for Human Action Recognition Read More »
Abstract With the establishment of Automatic Identification System(AIS) networks, maritime vessel trajectories are becoming increasingly available. The visualization of AIS trajectories data is an effective way on large scale spatiotemporal …
The Data Visualization of Large Scale AIS Trajectories Data on Hadoop Read More »
