-
1
-
-
13944252629
-
Underwater acoustic sensor networks: Research challenges
-
Mar.
-
I. F. Akyildiz, D. Pompili, and T. Melodia. Underwater acoustic sensor networks: Research challenges. Ad Hoc Networks (Elsevier), 3(3):257-279, Mar. 2005.
-
(2005)
Ad Hoc Networks (Elsevier)
, vol.3
, Issue.3
, pp. 257-279
-
-
Akyildiz, I.F.1
Pompili, D.2
Melodia, T.3
-
3
-
-
0003238552
-
Incremental and decremental support vector machine learning
-
Denver, CO, USA, Nov.
-
G. Cauwenberghs and T. Poggio. Incremental and decremental support vector machine learning. In Proc. of Neural Info. Processing Systems Conf., pages 409-415, Denver, CO, USA, Nov. 2000.
-
(2000)
Proc. of Neural Info. Processing Systems Conf.
, pp. 409-415
-
-
Cauwenberghs, G.1
Poggio, T.2
-
4
-
-
85138468556
-
PSVM: Parallelizing support vector machines on distributed computers
-
E. Y. Chang, K. Zhu, H. Wang, H. Bai, J. Li, Z. Qiu, and H. Cui. PSVM: Parallelizing support vector machines on distributed computers. In 21st Neural Info. Processing Systems Conf., Vancouver, Canada, Dec. 3-6, 2007.
-
21st Neural Info. Processing Systems Conf., Vancouver, Canada, Dec. 3-6, 2007
-
-
Chang, E.Y.1
Zhu, K.2
Wang, H.3
Bai, H.4
Li, J.5
Qiu, Z.6
Cui, H.7
-
5
-
-
34250704916
-
Classifying one billion data with a new distributed SVM algorithm
-
Ho Chi Minh City, Vietnam, Feb. 12-16
-
T. Do and F. Poulet. Classifying one billion data with a new distributed SVM algorithm. In Proc. of International Conf. on Research, Innovation and Vision for the Future, pages 59-66, Ho Chi Minh City, Vietnam, Feb. 12-16 2006.
-
(2006)
Proc. of International Conf. on Research, Innovation and Vision for the Future
, pp. 59-66
-
-
Do, T.1
Poulet, F.2
-
7
-
-
33745556605
-
Calibrating noise to sensitivity in private data analysis
-
New York, NY, USA, Mar. 4-7
-
C. Dwork, F. McSherry, K. Nissim, and A. Smith. Calibrating noise to sensitivity in private data analysis. In Proc. of 3rd Theory of Cryptography Conference, pages 265-284, New York, NY, USA, Mar. 4-7 2006.
-
(2006)
Proc. of 3rd Theory of Cryptography Conference
, pp. 265-284
-
-
Dwork, C.1
McSherry, F.2
Nissim, K.3
Smith, A.4
-
8
-
-
0037002322
-
A support vector machine approach for detection of microcalcifications
-
Dec.
-
I. El-Naqa, Y. Yang, M. Wernick, N. Galatsanos, and R. Nishikawa. A support vector machine approach for detection of microcalcifications. IEEE Tran. on Medical Imaging, 21(12):1552-1563, Dec. 2002.
-
(2002)
IEEE Tran. on Medical Imaging
, vol.21
, Issue.12
, pp. 1552-1563
-
-
El-Naqa, I.1
Yang, Y.2
Wernick, M.3
Galatsanos, N.4
Nishikawa, R.5
-
9
-
-
77954481439
-
Training a support-vector machine-based classifier in distributed sensor networks
-
K. Flouri, B. Beferull-Lozano, and P. Tsakalides. Training a support-vector machine-based classifier in distributed sensor networks. In Proc. of 14nd European Signal Processing Conf., Florence, Italy, Sep. 4-8 2006.
-
Proc. of 14nd European Signal Processing Conf., Florence, Italy, Sep. 4-8 2006
-
-
Flouri, K.1
Beferull-Lozano, B.2
Tsakalides, P.3
-
10
-
-
84863768146
-
Distributed consensus algorithms for SVM training in wireless sensor networks
-
K. Flouri, B. Beferull-Lozano, and P. Tsakalides. Distributed consensus algorithms for SVM training in wireless sensor networks. In Proc. of 16nd European Signal Processing Conf., Laussane, Switzerland, Aug. 25-29 2008.
-
Proc. of 16nd European Signal Processing Conf., Laussane, Switzerland, Aug. 25-29 2008
-
-
Flouri, K.1
Beferull-Lozano, B.2
Tsakalides, P.3
-
11
-
-
0041916184
-
Incremental support vector machine classification
-
Arlington, VA, USA, Apr. 11-13
-
G. Fung and O. L. Mangasarian. Incremental support vector machine classification. In Proc. of the 2nd SIAM International Conf. on Data Mining, pages 247-260, Arlington, VA, USA, Apr. 11-13 2002.
-
(2002)
Proc. of the 2nd SIAM International Conf. on Data Mining
, pp. 247-260
-
-
Fung, G.1
Mangasarian, O.L.2
-
12
-
-
3543087978
-
Applications of support vector machines to speech recognition
-
Aug.
-
A. Ganapathiraju, J. Hamaker, and J. Picone. Applications of support vector machines to speech recognition. IEEE Tran. on Signal Processing, 52(8):2348-2355, Aug. 2004.
-
(2004)
IEEE Tran. on Signal Processing
, vol.52
, Issue.8
, pp. 2348-2355
-
-
Ganapathiraju, A.1
Hamaker, J.2
Picone, J.3
-
13
-
-
84898956286
-
Parallel support vector machines: The cascade SVM
-
MIT Press
-
H. P. Graf, E. Cosatto, L. Bottou, I. Dourdanovic, and V. Vapnik. Parallel support vector machines: The cascade SVM. In Advances in Neural Information Processing Systems, volume 17. MIT Press, 2005.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
-
-
Graf, H.P.1
Cosatto, E.2
Bottou, L.3
Dourdanovic, I.4
Vapnik, V.5
-
14
-
-
70349648102
-
Distributed In-Network Channel Decoding
-
Oct.
-
H. Zhu, G. B. Giannakis, and A. Cano. Distributed In-Network Channel Decoding. IEEE Tran. on Signal Processing, 57(10):3970-3983, Oct. 2009.
-
(2009)
IEEE Tran. on Signal Processing
, vol.57
, Issue.10
, pp. 3970-3983
-
-
Zhu, H.1
Giannakis, G.B.2
Cano, A.3
-
15
-
-
0141804082
-
Detecting concept drift with support vector machines
-
Stanford, CA, USA
-
R. Klinkenberg and T. Joachims. Detecting concept drift with support vector machines. In Proc. of the Seventeenth International Conf. on Machine Learning, pages 487-494, Stanford, CA, USA, 2000.
-
(2000)
Proc. of the Seventeenth International Conf. on Machine Learning
, pp. 487-494
-
-
Klinkenberg, R.1
Joachims, T.2
-
16
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Nov.
-
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proc. IEEE, 86(11):2278-2324, Nov. 1998.
-
(1998)
Proc. IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
Lecun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
17
-
-
34249865344
-
Real-time detection of driver cognitive distraction using support vector machines
-
DOI 10.1109/TITS.2007.895298
-
Y. Liang, M. Reyes, and J. Lee. Real-time detection of driver cognitive distraction using support vector machines. IEEE Tran. on Intelligent Transportation Systems, 8(2):340-350, Jun. 2007. (Pubitemid 46873214)
-
(2007)
IEEE Transactions on Intelligent Transportation Systems
, vol.8
, Issue.2
, pp. 340-350
-
-
Liang, Y.1
Reyes, M.L.2
Lee, J.D.3
-
18
-
-
47549112333
-
Distributed parallel support vector machines in strongly connected networks
-
Jul.
-
Y. Lu, V. Roychowdhury, and L. Vandenberghe. Distributed parallel support vector machines in strongly connected networks. IEEE Tran. on Neural Networks, 19(7):1167-1178, Jul. 2008.
-
(2008)
IEEE Tran. on Neural Networks
, vol.19
, Issue.7
, pp. 1167-1178
-
-
Lu, Y.1
Roychowdhury, V.2
Vandenberghe, L.3
|