Zobrazeno 1 - 10
of 2 050
pro vyhledávání: '"Xu, Jiawei"'
Autor:
Chen, Keyu, Fei, Cheng, Bi, Ziqian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Yin, Caitlyn Heqi, Zhang, Yichao, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Li, Ming, Ren, Jintao, Niu, Qian, Chen, Silin, Hsieh, Weiche, Yan, Lawrence K. Q., Liang, Chia Xin, Xu, Han, Tseng, Hong-Ming, Song, Xinyuan, Liu, Ming
With a focus on natural language processing (NLP) and the role of large language models (LLMs), we explore the intersection of machine learning, deep learning, and artificial intelligence. As artificial intelligence continues to revolutionize fields
Externí odkaz:
http://arxiv.org/abs/2411.05026
Recently, Gaussian splatting has received more and more attention in the field of static scene rendering. Due to the low computational overhead and inherent flexibility of explicit representations, plane-based explicit methods are popular ways to pre
Externí odkaz:
http://arxiv.org/abs/2410.20815
Autor:
Hsieh, Weiche, Bi, Ziqian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Li, Ming, Ren, Jintao, Niu, Qian, Chen, Silin, Liu, Ming
Digital Signal Processing (DSP) and Digital Image Processing (DIP) with Machine Learning (ML) and Deep Learning (DL) are popular research areas in Computer Vision and related fields. We highlight transformative applications in image enhancement, filt
Externí odkaz:
http://arxiv.org/abs/2410.20304
Autor:
Chen, Silin, Bi, Ziqian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Li, Ming, Ren, Jintao, Niu, Qian, Liu, Ming
This book provides a comprehensive introduction to the foundational concepts of machine learning (ML) and deep learning (DL). It bridges the gap between theoretical mathematics and practical application, focusing on Python as the primary programming
Externí odkaz:
http://arxiv.org/abs/2410.19849
Autor:
Ren, Jintao, Bi, Ziqian, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Chen, Silin, Li, Ming, Xu, Jiawei, Liu, Ming
This book offers an in-depth exploration of object detection and semantic segmentation, combining theoretical foundations with practical applications. It covers state-of-the-art advancements in machine learning and deep learning, with a focus on conv
Externí odkaz:
http://arxiv.org/abs/2410.15584
Autor:
Feng, Pohsun, Bi, Ziqian, Yan, Lawrence K. Q., Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
This article provides a detailed exploration of blockchain technology and its applications across various fields. It begins with an introduction to cryptography fundamentals, including symmetric and asymmetric encryption, and their roles in ensuring
Externí odkaz:
http://arxiv.org/abs/2410.10110
Autor:
Feng, Pohsun, Bi, Ziqian, Wen, Yizhu, Peng, Benji, Liu, Junyu, Yin, Caitlyn Heqi, Wang, Tianyang, Chen, Keyu, Zhang, Sen, Li, Ming, Xu, Jiawei, Liu, Ming, Pan, Xuanhe, Wang, Jinlang, Niu, Qian
This manuscript presents a comprehensive guide to Automated Machine Learning (AutoML), covering fundamental principles, practical implementations, and future trends. The paper is structured to assist both beginners and experienced practitioners, with
Externí odkaz:
http://arxiv.org/abs/2410.09596
This book introduces the theoretical foundations of FMCW radar systems, including range and velocity estimation, signal processing techniques, and the generation of radar point clouds. A detailed discussion of Python and MATLAB as the primary program
Externí odkaz:
http://arxiv.org/abs/2410.08483
Autor:
Xu, Jian, Yu, Chao, Xu, Jiawei, Ding, Ying, Torvik, Vetle I., Kang, Jaewoo, Sung, Mujeen, Song, Min
Papers, patents, and clinical trials are indispensable types of scientific literature in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards
Externí odkaz:
http://arxiv.org/abs/2410.07969
Autor:
Li, Ming, Bi, Ziqian, Wang, Tianyang, Wen, Yizhu, Niu, Qian, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Liu, Ming
This book presents a comprehensive exploration of GPGPU (General Purpose Graphics Processing Unit) and its applications in deep learning and machine learning. It focuses on how parallel computing, particularly through the use of CUDA (Compute Unified
Externí odkaz:
http://arxiv.org/abs/2410.05686