Zobrazeno 1 - 10
of 138
pro vyhledávání: '"N.B. Karayiannis"'
Autor:
N.B. Karayiannis, S. Behnke
Publikováno v:
Recent Advances in Artificial Neural Networks ISBN: 9781351076210
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42e3879e26a17000320dae1f1e5793f8
https://doi.org/10.1201/9781351076210-2
https://doi.org/10.1201/9781351076210-2
Autor:
N.B. Karayiannis, J. Chookiarti
Publikováno v:
IEEE Transactions on Wireless Communications. 4:1749-1758
This paper presents the development of regularized adaptive detectors for code-division multiple-access (CDMA) wireless-communication systems. Multiuser CDMA detection is formulated as an inverse problem in the presence of channel-induced interferenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b578382ecbbb047060548e8e5fb5d59b
https://doi.org/10.1109/twc.2005.852139
https://doi.org/10.1109/twc.2005.852139
Autor:
J. Chookiarti, N.B. Karayiannis
Publikováno v:
IEEE Transactions on Communications. 53:356-365
This paper presents adaptive multiuser detectors for code-division multiple-access (CDMA) signals in wireless communication systems. Directly estimated adaptive (DEA) detectors are developed by formulating CDMA detection as an inverse problem in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f72bb35175de098681c538ed47d9966
https://doi.org/10.1109/tcomm.2004.842008
https://doi.org/10.1109/tcomm.2004.842008
Autor:
N.B. Karayiannis, J. Chookiarti
Publikováno v:
IEEE Transactions on Signal Processing. 52:2677-2689
This paper presents the development of indirectly estimated adaptive (IDEA) detectors for code-division multiple-access (CDMA) signals in wireless communication systems. Multiuser CDMA detection is formulated as an inverse problem in the presence of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aab72d147fd4f4fc0344067100c230f
https://doi.org/10.1109/tsp.2004.834404
https://doi.org/10.1109/tsp.2004.834404
Autor:
Y. Li, N.B. Karayiannis
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 11:658-663
This paper presents a variable bit-rate encoding scheme developed for digital video compression based on spatiotemporal decomposition and vector quantization. This encoding scheme exploits the interframe redundancy present in image sequences by emplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9ac8a169273ddfeda0be72a70822188
https://doi.org/10.1109/76.920195
https://doi.org/10.1109/76.920195
Autor:
T.C. Wang, N.B. Karayiannis
Publikováno v:
IEEE Transactions on Medical Imaging. 17:498-509
This paper presents an approach for detecting micro-calcifications in digital mammograms employing wavelet-based subband image decomposition. The microcalcifications appear in small clusters of few pixels with relatively high intensity compared with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::466c8c8ca85ed1d1d5590fb352d6d512
https://doi.org/10.1109/42.730395
https://doi.org/10.1109/42.730395
Publikováno v:
ICNN
This paper introduces quantum neural networks (QNNs), a class of feedforward neural networks (FFNNs) inherently capable of estimating the structure of a feature space in the form of fuzzy sets. The hidden units of these networks develop quantized rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11c9961b73fc079522f14ead6a2cc079
https://doi.org/10.1109/72.572106
https://doi.org/10.1109/72.572106
Autor:
N.B. Karayiannis, A.N. Venetsanopoulos
Publikováno v:
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 39:453-474
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a644a8fe7cacb049f29fa968c796e94
https://doi.org/10.1109/82.160170
https://doi.org/10.1109/82.160170
Autor:
N.B. Karayiannis, Yaohua Xiong
Publikováno v:
CIBCB
This paper introduces a learning algorithm that can be used for training reformulated radial basis function neural networks (RBFNNs) capable of identifying uncertainty in data classification. The proposed learning algorithm is used to train a special
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4683586cae3551d6ac3232257c7f459d
https://doi.org/10.1109/cibcb.2005.1594953
https://doi.org/10.1109/cibcb.2005.1594953
Autor:
N.B. Karayiannis, A. Sami
Publikováno v:
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a086f3318e9eddf862925e52813737ee
https://doi.org/10.1109/iembs.2003.1279877
https://doi.org/10.1109/iembs.2003.1279877