Zobrazeno 1 - 10
of 22 925
pro vyhledávání: '"wei, Ting"'
We introduce a novel framework for representation learning in head pose estimation (HPE). Previously such a scheme was difficult due to head pose data sparsity, making triplet sampling infeasible. Recent progress in 3D generative adversarial networks
Externí odkaz:
http://arxiv.org/abs/2412.02066
Autor:
Chen, Wei-Ting
The increasing complexity and energy demands of deep learning models have highlighted the limitations of traditional computing architectures, especially for edge devices with constrained resources. Spiking Neural Networks (SNNs) offer a promising alt
Externí odkaz:
http://arxiv.org/abs/2412.10389
The rapid advancement of machine learning has unlocked numerous opportunities for materials science, particularly in accelerating the design and analysis of materials. However, a significant challenge lies in the scarcity and high cost of obtaining h
Externí odkaz:
http://arxiv.org/abs/2411.06565
Autor:
Tsai, Yun-Jui, Wei, Ting Han, Lin, Chi-Huang, Shih, Chung-Chin, Guei, Hung, Wu, I-Chen, Wu, Ti-Rong
Game solving is the process of finding the theoretical outcome for a game, assuming that all player choices are optimal. This paper focuses on a technique that can reduce the heuristic search space significantly for 7x7 Killall-Go. In Go and Killall-
Externí odkaz:
http://arxiv.org/abs/2411.05565
We propose a Continuous-Time Quantum Walks (CTQW) model for one-dimensional Dirac dynamics simulation with higher-order approximation. Our model bridges CTQW with a discrete-time model called Dirac Cellular Automata (DCA) via Quantum Fourier Transfor
Externí odkaz:
http://arxiv.org/abs/2411.04540
Missing data in tabular dataset is a common issue as the performance of downstream tasks usually depends on the completeness of the training dataset. Previous missing data imputation methods focus on numeric and categorical columns, but we propose a
Externí odkaz:
http://arxiv.org/abs/2408.02128
Many head pose estimation (HPE) methods promise the ability to create full-range datasets, theoretically allowing the estimation of the rotation and positioning of the head from various angles. However, these methods are only accurate within a range
Externí odkaz:
http://arxiv.org/abs/2408.01566
A precise dynamical characterization of quantum impurity models with multiple interacting orbitals is challenging. In quantum Monte Carlo methods, this is embodied by sign problems. A dynamical sign problem makes it exponentially difficult to simulat
Externí odkaz:
http://arxiv.org/abs/2407.00771
Autor:
Liao, Chun-Chieh, Kuo, Wei-Ting, Hu, I-Hsuan, Shih, Yen-Chen, Ding, Jun-En, Liu, Feng, Hung, Fang-Ming
Traditional diagnosis of chronic diseases involves in-person consultations with physicians to identify the disease. However, there is a lack of research focused on predicting and developing application systems using clinical notes and blood test valu
Externí odkaz:
http://arxiv.org/abs/2406.18087
Segment Anything Model (SAM) has emerged as a transformative approach in image segmentation, acclaimed for its robust zero-shot segmentation capabilities and flexible prompting system. Nonetheless, its performance is challenged by images with degrade
Externí odkaz:
http://arxiv.org/abs/2406.09627