Zobrazeno 1 - 10
of 1 912 049
pro vyhledávání: '"An Ming"'
Autor:
Hsieh, Weiche, Bi, Ziqian, Chen, Keyu, Peng, Benji, Zhang, Sen, Xu, Jiawei, Wang, Jinlang, Yin, Caitlyn Heqi, Zhang, Yichao, Feng, Pohsun, Wen, Yizhu, Wang, Tianyang, Li, Ming, Liang, Chia Xin, Ren, Jintao, Niu, Qian, Chen, Silin, Yan, Lawrence K. Q., Xu, Han, Tseng, Hong-Ming, Song, Xinyuan, Jing, Bowen, Yang, Junjie, Song, Junhao, Liu, Junyu, Liu, Ming
Advancements in artificial intelligence, machine learning, and deep learning have catalyzed the transformation of big data analytics and management into pivotal domains for research and application. This work explores the theoretical foundations, met
Externí odkaz:
http://arxiv.org/abs/2412.02187
Autor:
Hsieh, Weiche, Bi, Ziqian, Jiang, Chuanqi, Liu, Junyu, Peng, Benji, Zhang, Sen, Pan, Xuanhe, Xu, Jiawei, Wang, Jinlang, Chen, Keyu, Yin, Caitlyn Heqi, Feng, Pohsun, Wen, Yizhu, Song, Xinyuan, Wang, Tianyang, Yang, Junjie, Li, Ming, Jing, Bowen, Ren, Jintao, Song, Junhao, Xu, Han, Tseng, Hong-Ming, Zhang, Yichao, Yan, Lawrence K. Q., Niu, Qian, Chen, Silin, Wang, Yunze, Liang, Chia Xin, Liu, Ming
Explainable Artificial Intelligence (XAI) addresses the growing need for transparency and interpretability in AI systems, enabling trust and accountability in decision-making processes. This book offers a comprehensive guide to XAI, bridging foundati
Externí odkaz:
http://arxiv.org/abs/2412.00800
Autor:
Li, Yuan-Ming, Wang, An-Lan, Lin, Kun-Yu, Tang, Yu-Ming, Zeng, Ling-An, Hu, Jian-Fang, Zheng, Wei-Shi
To guide a learner to master the action skills, it is crucial for a coach to 1) reason through the learner's action execution and technical keypoints, and 2) provide detailed, understandable feedback on what is done well and what can be improved. How
Externí odkaz:
http://arxiv.org/abs/2411.17130
This paper proposes a novel Sequence-to-Sequence Neural Diarization (SSND) framework to perform online and offline speaker diarization. It is developed from the sequence-to-sequence architecture of our previous target-speaker voice activity detection
Externí odkaz:
http://arxiv.org/abs/2411.13849
Autor:
Wang, Zong, Guo, Zhihua, Chen, Zhihua, Li, Ming, Zhou, Zihang, Zhang, Chengjie, Fei, Shao-Ming, Ma, Zhihao
We establish the profound equivalence between measures of genuine multipartite entanglement(GME) and their corresponding coherence measures. Initially we construct two distinct classes of measures for genuine multipartite entanglement utilizing real
Externí odkaz:
http://arxiv.org/abs/2411.11485
Extremely nonlinear interactions between intense light pulses and atoms or molecules can generate new frequencies. Here, we observed high-order harmonics of acoustic waves in laser-induced plasma in air ionized by carrier-envelope offset phase (CEP)
Externí odkaz:
http://arxiv.org/abs/2411.08304
Autor:
Liang, Chia Xin, Tian, Pu, Yin, Caitlyn Heqi, Yua, Yao, An-Hou, Wei, Ming, Li, Wang, Tianyang, Bi, Ziqian, Liu, Ming
This survey and application guide to multimodal large language models(MLLMs) explores the rapidly developing field of MLLMs, examining their architectures, applications, and impact on AI and Generative Models. Starting with foundational concepts, we
Externí odkaz:
http://arxiv.org/abs/2411.06284
Autor:
Huang, Chien-yu, Chen, Wei-Chih, Yang, Shu-wen, Liu, Andy T., Li, Chen-An, Lin, Yu-Xiang, Tseng, Wei-Cheng, Diwan, Anuj, Shih, Yi-Jen, Shi, Jiatong, Chen, William, Chen, Xuanjun, Hsiao, Chi-Yuan, Peng, Puyuan, Wang, Shih-Heng, Kuan, Chun-Yi, Lu, Ke-Han, Chang, Kai-Wei, Yang, Chih-Kai, Ritter-Gutierrez, Fabian, Chuang, Ming To, Huang, Kuan-Po, Arora, Siddhant, Lin, You-Kuan, Yeo, Eunjung, Chang, Kalvin, Chien, Chung-Ming, Choi, Kwanghee, Hsieh, Cheng-Hsiu, Lin, Yi-Cheng, Yu, Chee-En, Chiu, I-Hsiang, Guimarães, Heitor R., Han, Jionghao, Lin, Tzu-Quan, Lin, Tzu-Yuan, Chang, Homu, Chang, Ting-Wu, Chen, Chun Wei, Chen, Shou-Jen, Chen, Yu-Hua, Cheng, Hsi-Chun, Dhawan, Kunal, Fang, Jia-Lin, Fang, Shi-Xin, Chiang, Kuan-Yu Fang, Fu, Chi An, Hsiao, Hsien-Fu, Hsu, Ching Yu, Huang, Shao-Syuan, Wei, Lee Chen, Lin, Hsi-Che, Lin, Hsuan-Hao, Lin, Hsuan-Ting, Lin, Jian-Ren, Liu, Ting-Chun, Lu, Li-Chun, Pai, Tsung-Min, Pasad, Ankita, Kuan, Shih-Yun Shan, Shon, Suwon, Tang, Yuxun, Tsai, Yun-Shao, Wei, Jui-Chiang, Wei, Tzu-Chieh, Wu, Chengxi, Wu, Dien-Ruei, Yang, Chao-Han Huck, Yang, Chieh-Chi, Yip, Jia Qi, Yuan, Shao-Xiang, Noroozi, Vahid, Chen, Zhehuai, Wu, Haibin, Livescu, Karen, Harwath, David, Watanabe, Shinji, Lee, Hung-yi
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spoken language model that comprehends a wide range of natural language i
Externí odkaz:
http://arxiv.org/abs/2411.05361
Autor:
Zhang, Charles, Peng, Benji, Sun, Xintian, Niu, Qian, Liu, Junyu, Chen, Keyu, Li, Ming, Feng, Pohsun, Bi, Ziqian, Liu, Ming, Zhang, Yichao, Fei, Cheng, Yin, Caitlyn Heqi, Yan, Lawrence KQ, Wang, Tianyang
Word embeddings and language models have transformed natural language processing (NLP) by facilitating the representation of linguistic elements in continuous vector spaces. This review visits foundational concepts such as the distributional hypothes
Externí odkaz:
http://arxiv.org/abs/2411.05036
Autor:
Sun, Xintian, Peng, Benji, Zhang, Charles, Jin, Fei, Niu, Qian, Liu, Junyu, Chen, Keyu, Li, Ming, Feng, Pohsun, Bi, Ziqian, Liu, Ming, Zhang, Yichao
Remote sensing has evolved from simple image acquisition to complex systems capable of integrating and processing visual and textual data. This review examines the development and application of multi-modal language models (MLLMs) in remote sensing,
Externí odkaz:
http://arxiv.org/abs/2411.05826