Zobrazeno 1 - 10
of 58 687
pro vyhledávání: '"Kim, So Soo"'
Many-body ground state preparation is an important subroutine used in the simulation of physical systems. In this paper, we introduce a flexible and efficient framework for obtaining a state preparation circuit for a large class of many-body ground s
Externí odkaz:
http://arxiv.org/abs/2410.23544
Refined canonical stable Grothendieck polynomials were introduced by Hwang, Jang, Kim, Song, and Song. There exist two combinatorial models for these polynomials: one using hook-valued tableaux and the other using pairs of a semistandard Young tablea
Externí odkaz:
http://arxiv.org/abs/2410.18343
We present SegINR, a novel approach to neural Text-to-Speech (TTS) that addresses sequence alignment without relying on an auxiliary duration predictor and complex autoregressive (AR) or non-autoregressive (NAR) frame-level sequence modeling. SegINR
Externí odkaz:
http://arxiv.org/abs/2410.04690
When developing Computer Aided Detection (CAD) systems for Digital Breast Tomosynthesis (DBT), the complexity arising from the volumetric nature of the modality poses significant technical challenges for obtaining large-scale accurate annotations. Wi
Externí odkaz:
http://arxiv.org/abs/2409.16581
Interconnection networks, or `interconnects,' play a crucial role in administering the communication among computing units of high-performance computing (HPC) systems. Efficient provisioning of interconnects minimizes the processing delay wherein com
Externí odkaz:
http://arxiv.org/abs/2409.13281
Internet of Things (IoT) devices are deployed in the filed, there is an enormous amount of untapped potential in local computing on those IoT devices. Harnessing this potential for indoor localization, therefore, becomes an exciting research area. Co
Externí odkaz:
http://arxiv.org/abs/2409.00078
This paper aims to adapt the source model to the target environment, leveraging small user feedback (i.e., labeled target data) readily available in real-world applications. We find that existing semi-supervised domain adaptation (SemiSDA) methods of
Externí odkaz:
http://arxiv.org/abs/2407.15383
Wi-Fi fingerprinting is widely applied for indoor localization due to the widespread availability of Wi-Fi devices. However, traditional methods are not ideal for multi-building and multi-floor environments due to the scalability issues. Therefore, m
Externí odkaz:
http://arxiv.org/abs/2407.13303
Publikováno v:
IEEE Sensors Journal, Early Access, 12 September 2024
In this paper, we present a new solution to the problem of large-scale multi-building and multi-floor indoor localization based on linked neural networks, where each neural network is dedicated to a sub-problem and trained under a hierarchical stage-
Externí odkaz:
http://arxiv.org/abs/2407.13288
This report describes the submission of HYU ASML team to the IEEE Signal Processing Cup 2024 (SP Cup 2024). This challenge, titled "ROBOVOX: Far-Field Speaker Recognition by a Mobile Robot," focuses on speaker recognition using a mobile robot in nois
Externí odkaz:
http://arxiv.org/abs/2407.11365