Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kang-Yu Ni"'
Publikováno v:
IEEE BigData
Subgraph Matching is one of the fundamental problems in network analysis, with a wide range of applications ranging from drug repurposing and discovery to programming language analysis. Due to the increasing prevalence of knowledge graphs (KGs), ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e6b586d45402d0b635350b4c44012b
https://doi.org/10.1109/bigdata50022.2020.9378003
https://doi.org/10.1109/bigdata50022.2020.9378003
Publikováno v:
Inverse Problems & Imaging. 11:177-202
We describe a foveated compressive sensing approach for image analysis applications that utilizes knowledge of the task to be performed to reduce the number of required sensor measurements and sensor size, weight, and power (SWAP) compared to convent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f5e8854ccae5a7d8739f550ad5d411d
https://doi.org/10.3934/ipi.2017009
https://doi.org/10.3934/ipi.2017009
Publikováno v:
Zhongguo gu shang = China journal of orthopaedics and traumatology. 31(12)
To explore the clinical effect of minimally invasive technique combined with locking plates for the treatment of osteoporotic humeral shaft fractures in elderly patients.From July 2012 to December 2016, 26 patients were treated by minimally invasive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::930563ae50bd64e7a10636b5d556ac59
https://pubmed.ncbi.nlm.nih.gov/30583651
https://pubmed.ncbi.nlm.nih.gov/30583651
Publikováno v:
IEEE BigData
We present the design and implementation of an automated event summarization system that leverages publicly available data from online sources. A novel Network of Networks (NoN) model is proposed to represent a multimodal data set comprising microblo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27871a898dfe1a1268d46fe5f317a41d
https://doi.org/10.1109/bigdata.2016.7840778
https://doi.org/10.1109/bigdata.2016.7840778
Autor:
Kang-Yu Ni, Samuel D. Johnson
Publikováno v:
IEEE BigData
The tides of sentiments expressed in online social media rise and fall. In recent years, the availability of big data has afforded researchers the ability to develop and evaluate techniques that allow us to identify, classify, aggregate, and even pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aade685922f9d177d4a8be67173c1706
https://doi.org/10.1109/bigdata.2015.7364105
https://doi.org/10.1109/bigdata.2015.7364105
Publikováno v:
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
We propose a novel application of the sparse and low-rank (SLR) decomposition method to decode cognitive states for concept activity measured using fMRI BOLD. Current decoding methods attempt to reduce the dimensionality of fMRI BOLD signals to incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99bf6c51561aa731662c7429c61de932
https://doi.org/10.1117/12.2081259
https://doi.org/10.1117/12.2081259
Autor:
Kang-Yu Ni, Tsai-Ching Lu
Publikováno v:
EPJ Data Science. 3
This paper addresses the need of characterizing system instability toward critical transitions in complex systems. We propose a novel information dynamic spectrum framework and a probabilistic light cone method to automate the analysis. Our framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb6da6e536714a895c4476cfaff1982d
https://doi.org/10.1140/epjds/s13688-014-0028-7
https://doi.org/10.1140/epjds/s13688-014-0028-7
Autor:
Kang-Yu Ni, Shankar R. Rao
Publikováno v:
SPIE Proceedings.
We propose a method to image a complex scene with spotlight synthetic aperture radar (SAR) despite the presence of multiple moving targets. Many recent methods use sparsity-based reconstruction coupled with phase error corrections of moving targets t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fca709fb3d3fbd4f364fab1e00b84bf
https://doi.org/10.1117/12.2049827
https://doi.org/10.1117/12.2049827
Publikováno v:
SPIE Proceedings.
In this paper we introduce two novel methods for application of `1-minimization. In the first method, sparse and low-rank decomposition and compressive sensing-based retrieval are combined and applied to a low power surveillance model. The method exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a14719afaa84afcdb08d5801309d40fd
https://doi.org/10.1117/12.2024253
https://doi.org/10.1117/12.2024253
Publikováno v:
SPIE Proceedings.
We describe a foveated compressive sensing approach for image analysis applications that utilizes knowledge of the task to be performed to reduce the number of required measurements compared to conventional Nyquist sampling and compressive sensing ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09954c67847f5536b3f316a105a6bbf3
https://doi.org/10.1117/12.2024594
https://doi.org/10.1117/12.2024594