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pro vyhledávání: '"Yip A"'
Autor:
Knapp, Greg, Yip, Chi Hoi
In this paper, we consider the relationship between the Mahler measure of a polynomial and its separation. In 1964, Mahler proved that if $f(x) \in \mathbb{Z}[x]$ is separable of degree $n$, then $\operatorname{sep}(f) \gg_n M(f)^{-(n-1)}$. This spur
Externí odkaz:
http://arxiv.org/abs/2410.01126
Depth perception is essential for a robot's spatial and geometric understanding of its environment, with many tasks traditionally relying on hardware-based depth sensors like RGB-D or stereo cameras. However, these sensors face practical limitations,
Externí odkaz:
http://arxiv.org/abs/2409.19490
Autor:
Yip, Fredy
Recently, Alon initiated the study of graph codes and their linear variants in analogy to the study of error correcting codes in theoretical computer science. Alon related the maximum density of a linear graph code which avoids images of a small grap
Externí odkaz:
http://arxiv.org/abs/2409.16778
Autor:
Zhou, Kun, Zhang, You, Zhao, Shengkui, Wang, Hao, Pan, Zexu, Ng, Dianwen, Zhang, Chong, Ni, Chongjia, Ma, Yukun, Nguyen, Trung Hieu, Yip, Jia Qi, Ma, Bin
Current emotional text-to-speech (TTS) systems face challenges in mimicking a broad spectrum of human emotions due to the inherent complexity of emotions and limitations in emotional speech datasets and models. This paper proposes a TTS framework tha
Externí odkaz:
http://arxiv.org/abs/2409.16681
Autor:
Shi, Jiatong, Tian, Jinchuan, Wu, Yihan, Jung, Jee-weon, Yip, Jia Qi, Masuyama, Yoshiki, Chen, William, Wu, Yuning, Tang, Yuxun, Baali, Massa, Alharhi, Dareen, Zhang, Dong, Deng, Ruifan, Srivastava, Tejes, Wu, Haibin, Liu, Alexander H., Raj, Bhiksha, Jin, Qin, Song, Ruihua, Watanabe, Shinji
Neural codecs have become crucial to recent speech and audio generation research. In addition to signal compression capabilities, discrete codecs have also been found to enhance downstream training efficiency and compatibility with autoregressive lan
Externí odkaz:
http://arxiv.org/abs/2409.15897
Surgical automation holds immense potential to improve the outcome and accessibility of surgery. Recent studies use reinforcement learning to learn policies that automate different surgical tasks. However, these policies are developed independently a
Externí odkaz:
http://arxiv.org/abs/2409.15651
We present a new approach for investigating the Markovian to non-Markovian transition in quantum aggregates strongly coupled to a vibrational bath through the analysis of linear absorption spectra. Utilizing hierarchical algebraic equations in the fr
Externí odkaz:
http://arxiv.org/abs/2409.14661
Surgical automation has the capability to improve the consistency of patient outcomes and broaden access to advanced surgical care in underprivileged communities. Shared autonomy, where the robot automates routine subtasks while the surgeon retains p
Externí odkaz:
http://arxiv.org/abs/2409.14287
Chronic wounds, including diabetic ulcers, pressure ulcers, and ulcers secondary to venous hypertension, affects more than 6.5 million patients and a yearly cost of more than $25 billion in the United States alone. Chronic wound treatment is currentl
Externí odkaz:
http://arxiv.org/abs/2409.14282
Autor:
Peiros, Elizabeth, Joyce, Calvin, Murugesan, Tarun, Nguyen, Roger, Fiorini, Isabella, Galibut, Rizzi, Yip, Michael C.
Human-robot physical interaction (pHRI) is a rapidly evolving research field with significant implications for physical therapy, search and rescue, and telemedicine. However, a major challenge lies in accurately understanding human constraints and sa
Externí odkaz:
http://arxiv.org/abs/2409.13905