Results 71 to 80 of about 212,585 (307)
, 2017 Recently, skeleton based action recognition gains more popularity due to cost-effective depth sensors coupled with real-time skeleton estimation algorithms.
Wang, Hongsong, Wang, Liang
core +1 more source
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 KDD ...
Babaev, Dmitrii +3 more
openaire +2 more sources
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Surveying the prediction of risks in cryptocurrency investments using recurrent neural networks
Open EngineeringDecentralized cryptocurrencies have received much attention over the last few years. Bitcoin (BTC) has enabled straight online expenditures without the need for centralized financial institutions.
Qasim Abdulkadhim Rihab +2 more
doaj +1 more source
Inter-Session Modeling for Session-Based Recommendation
, 2017 In recent years, research has been done on applying Recurrent Neural Networks (RNNs) as recommender systems. Results have been promising, especially in the session-based setting where RNNs have been shown to outperform state-of-the-art models. In many of
Langseth, Helge +2 more
core +1 more source
MAM-RNN: Multi-level Attention Model Based RNN for Video Captioning [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Visual information is quite important for the task of video captioning. However, in the video, there are a lot of uncorrelated content, which may cause interference to generate a correct caption. Based on this point, we attempt to exploit the visual features which are most correlated to the caption.
Xuelong Li, Bin Zhao, Xiaoqiang Lu
openaire +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
The Future of Tax Reform: A Rejoinder to Professor Zelinsky [PDF]
, 1987 Optical character recognition (OCR) is a fundamental problem in computer vision. Research studies have shown significant progress in classifying printed characters using deep learning-based methods and topologies.
Yorio, Edward
core +3 more sources
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs
, 2017 In this paper, we study the problem of addressee and response selection in multi-party conversations. Understanding multi-party conversations is challenging because of complex speaker interactions: multiple speakers exchange messages with each other ...
Lee, Honglak +3 more
core +2 more sources
Advanced Science, EarlyView.Wedelolactone (WED), a natural TLR2 agonist, promotes neutrophil differentiation and enhances bactericidal function, offering a potential therapeutic strategy for neutropenia. Using a multi‐omics approach, this study reveals that WED activates the TLR2/MEK/ERK pathway, upregulating key transcription factors (PU.1, CEBPβ) to drive neutrophil development.
Long Wang +16 more
wiley +1 more source