Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Minsik Cho"'
Autor:
Chankyu Kim, Hyoungtaek Kim, Jongyul Kim, Chaehun Lee, Hyunjun Yoo, Dong Uk Kang, Minsik Cho, Myung Soo Kim, Daehee Lee, Yewon Kim, Kyung Taek Lim, Shiyoung Yang, Gyuseong Cho
Publikováno v:
Nuclear Engineering and Technology, Vol 47, Iss 4, Pp 479-487 (2015)
The thallium-doped sodium iodide [NaI(Tl)] scintillation detector is preferred as a gamma spectrometer in many fields because of its general advantages. A silicon photomultiplier (SiPM) has recently been developed and its application area has been ex
Externí odkaz:
https://doaj.org/article/1fc19743104e42aa9c29ed750202043e
Publikováno v:
The Journal of Physical Chemistry Letters. 13:7483-7489
The adsorption of simple gas molecules to metal oxide surfaces is a primary step in many heterogeneous catalysis applications. Quantum chemical modeling of these reactions is a challenge both in terms of cost and accuracy, and quantum-embedding metho
Autor:
Yeohoon Yoon, Hyungmin Gi, Jongmin Lee, Minsik Cho, Changyoun Im, Yongmin Lee, Chisung Bae, Sang Joon Kim, Yoonmyung Lee
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:1820-1831
Streaming keyword spotting is a widely used solution for activating voice assistants. Deep Neural Networks with Hidden Markov Model (DNN-HMM) based methods have proven to be efficient and widely adopted in this space, primarily because of the ability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bf80e4d2bcb5eb82f993f2522359627
http://arxiv.org/abs/2210.15425
http://arxiv.org/abs/2210.15425
Autor:
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
This paper explores the possibility of using visual object detection techniques for word localization in speech data. Object detection has been thoroughly studied in the contemporary literature for visual data. Noting that an audio can be interpreted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23ffa89be6cdc18585cc4b9011c377db
http://arxiv.org/abs/2210.13567
http://arxiv.org/abs/2210.13567
Autor:
Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed Tewfik
Voice trigger detection is an important task, which enables activating a voice assistant when a target user speaks a keyword phrase. A detector is typically trained on speech data independent of speaker information and used for the voice trigger dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d2247120c2b7942ea99df1878f165ef
Publikováno v:
The Journal of Physical Chemistry. a
We have explored the use of range separation as a possible avenue for further improvement on our revDSD minimally empirical double hybrid functionals. Such ωDSD functionals encompass the XYG3 type of double hybrid (i.e., xDSD) as a special case for
Autor:
Minsik Cho, Ki Eunkwang
Publikováno v:
Korean Journal of Social Quality. 2:67-86
We have explored the use of range separation as a possible avenue for further improvement on our revDSD minimally empirical double hybrid functionals. Such $\omega$DSD functionals encompass the XYG3 type of double hybrid (i.e., xDSD) as a special cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5870073d344f3faa5f142ff4a61a7689
Publikováno v:
DAC
We propose FlexReduce, an efficient and flexible all-reduce algorithm for distributed deep learning under irregular network hierarchies. With ever-growing deep neural networks, distributed learning over multiple nodes is becoming imperative for exped