Zobrazeno 1 - 10
of 21
pro vyhledávání: '"D. Mitchell Wilkes"'
Publikováno v:
Signals, Vol 5, Iss 2, Pp 382-401 (2024)
Collaborative virtual environment (CVE)-based teamwork training offers a promising avenue for inclusive teamwork training. The incorporation of a feedback mechanism within virtual training environments can enhance the training experience by scaffoldi
Externí odkaz:
https://doaj.org/article/5fd0a9e7517d4204af0feb9b0cb75900
Autor:
Jiachen Xu, Junlin Guo, James Zimmer-Dauphinee, Quan Liu, Yuxuan Shi, Zuhayr Asad, D. Mitchell Wilkes, Parker VanValkenburgh, Steven A. Wernke, Yuankai Huo
Publikováno v:
International Journal of Remote Sensing. 44:1922-1938
Publikováno v:
Cerebral Cortex Communications
The hemodynamic response function (HRF) characterizes temporal variations of blood oxygenation level-dependent (BOLD) signals. Although a variety of HRF models have been proposed for gray matter responses to functional demands, few studies have inves
Publikováno v:
2019 SoutheastCon.
The current available methods for fMRI data decomposition are mostly done as a whole ignoring the possibility of important information variability over time. While some studies applied sliding windows to the data, the independence and continuity of t
Publikováno v:
Information Systems. 48:89-112
Today's real-world databases typically contain millions of items with many thousands of fields. As a result, traditional distribution-based outlier detection techniques have more and more restricted capabilities and novel k-nearest neighbors based ap
Autor:
Robert A. Weller, Ronald D. Schrimpf, Nicholas C. Hooten, Marcus H. Mendenhall, Arthur F. Witulski, Robert A. Reed, D. Mitchell Wilkes, William G. Bennett
Publikováno v:
IEEE Transactions on Nuclear Science. 60:4159-4165
Charge collection by multiple junctions is investigated using broadbeam heavy-ion and backside laser current transient measurements. The probability that significant charge is collected by more than one junction is greater for laser-generated events
Publikováno v:
Digital Signal Processing. 23:1523-1538
Traditional minimum spanning tree-based clustering algorithms only make use of information about edges contained in the tree to partition a data set. As a result, with limited information about the structure underlying a data set, these algorithms ar
Publikováno v:
Robotics and Autonomous Systems. 60:1279-1294
It is generally agreed that learning, either supervised or unsupervised, can provide the best possible specification of known classes and offer inference for outlier detection by a dissimilarity threshold from the nominal feature space. Novel percept
Autor:
Adnan Al-Smadi, D. Mitchell Wilkes
Publikováno v:
IEEE Transactions on Signal Processing. 50:759-763
The field of higher order statistics is emerging rapidly for analyzing non-Gaussian processes. There are several motivations behind the use of higher order statistics. The emphasis of this paper is based on the property that higher order cumulants ar
Publikováno v:
CVGIP: Image Understanding. 60:392-397
An iterative algorithm for 3D structure reconstruction from two perspective projections is proposed. The basis of the method is the eight-point algorithm (Longuet-Higgins, Nature 293(10), 1981, 133-135; Tsai and Huang, IEEE Trans. PAMI 6, 1984, 13-27