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 explosive increase of big data, it is necessary to apply large-scale data processing systems to analyze Big Data. Arguably, Spark is state of the art in large-scale
Abstract Modern smart city projects are evolving to the next level of data-centric situation awareness and decision makings, thereby requiring much intensive data integration over various data sources made from
Making IoT Data Ready for Smart City Applications Read More »
Abstract With the deepening of ocean development, the tasks that underwater vehicles need to perform are more complex. Shared control provides a reliable scheme for robots to accomplish these tasks
Development and Control of a Humanoid Underwater Robot Read More »
Abstract Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of
Pymoo: Multi-Objective Optimization in Python Read More »
Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for
High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
Abstract This paper presents a novel framework for Speech Activity Detection (SAD). Inspired by the recent success of multi-task learning approaches in the speech processing domain, we propose a novel
Abstract Image restoration is a long-standing problem in image processing and low-level computer vision. Recently, discriminative convolutional neural network (CNN)-based approaches have attracted considerable attention due to their superior performance.
A Flexible Deep CNN Framework for Image Restoration Read More »
Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
