Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Nick Klausner"'
Publikováno v:
IEEE Journal of Oceanic Engineering. 45:1034-1044
This paper addresses the problem of discriminating underwater unexploded ordnance (UXO) from non-UXO objects using manifold learning principles when applied to data collected from low-frequency sonar. Our classification hypothesis is that the sequenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93a594245bf26d5db15ce8859bcada2d
https://doi.org/10.1109/joe.2019.2916942
https://doi.org/10.1109/joe.2019.2916942
Publikováno v:
IEEE Journal of Oceanic Engineering. 45:534-546
A critical need in the development of any automatic target recognition system is the ability to accurately predict and quantify the detection and classification performance under various operational and environmental conditions. In this paper, we pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0782760eef5bb61364d3a8a5c1b0080b
https://doi.org/10.1109/joe.2018.2881527
https://doi.org/10.1109/joe.2018.2881527
Publikováno v:
IEEE Journal of Oceanic Engineering. 42:869-879
This paper introduces a new subspace-based detection method for multichannel (high frequency and broadband) synthetic aperture sonar (SAS) imagery. An image-dependent dictionary learning method is applied to form the appropriate dictionary matrices f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e04fefaab83c5ed861b33bdca4e47a
https://doi.org/10.1109/joe.2016.2637138
https://doi.org/10.1109/joe.2016.2637138
Publikováno v:
ICIP
This paper addresses the problem of performance prediction and estimation for a multichannel coherence detector. The saddlepoint approximation is employed to approximate the empirical null distribution of the test statistics for the purpose of predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a5f09f1ac96738df2d2406ccbf53f36
https://doi.org/10.1109/icip.2019.8803685
https://doi.org/10.1109/icip.2019.8803685
Publikováno v:
IEEE Signal Processing Letters. 23:703-707
This letter considers the problem of threshold selection for a correlation test among multiple $({\geq}2)$ random vectors. The generalized likelihood ratio test (GLRT) for this problem uses a generalized Hadamard ratio to test for block diagonality i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6852a8714367a5e68aec0ee485d8a15c
https://doi.org/10.1109/lsp.2016.2545707
https://doi.org/10.1109/lsp.2016.2545707
Publikováno v:
ICMLA
This paper introduces a kernel machine for multiclass discrimination where the scoring function for each class is constructed using a linear combination over a predefined diverse library of kernel functions. The scoring function is built using an exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82415556217053694aa31aa84614f305
https://doi.org/10.1109/icmla.2017.00-79
https://doi.org/10.1109/icmla.2017.00-79
Publikováno v:
IEEE Transactions on Signal Processing. 62:1396-1407
This paper addresses the problem of testing for the independence among multiple ( ≥ 2) random vectors. The generalized likelihood ratio test tests the null hypothesis that the composite covariance matrix of the channels is block-diagonal, using a g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbf934c303abfe041d3f1992ccf13273
https://doi.org/10.1109/tsp.2014.2298833
https://doi.org/10.1109/tsp.2014.2298833
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 48:3554-3566
This paper presents a coherence-based detection method for multiple disparate sensing systems using the multi-channel coherence analysis (MCA) framework. MCA provides an optimal coordinate system for multi-channel detection problems as it finds sets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a11ec7e9e69ed19a582865fca7edd45
https://doi.org/10.1109/taes.2012.6324738
https://doi.org/10.1109/taes.2012.6324738
Publikováno v:
ICIP
K-SVD method has recently been introduced to learn a specific dictionary matrix that best fits a set of training data vectors. K-SVD is flexible in that any preferred pursuit method of sparse coding can be used to represent the data. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd644ff067081947f6ae4ca95917cf2d
https://doi.org/10.1109/icip.2014.7025320
https://doi.org/10.1109/icip.2014.7025320
Publikováno v:
ICASSP
This paper considers the problem of testing for the independence among multiple random vectors with each random vector representing a time series captured at one sensor. Implementing the Generalized Likelihood Ratio Test involves testing the null hyp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e2950c2076df0ce7f8dfd85503cf134
https://doi.org/10.1109/icassp.2014.6854151
https://doi.org/10.1109/icassp.2014.6854151