-
1
-
-
0030647560
-
Comparison of basis selection methods
-
Pacific Grove, CA: IEEE
-
Adler, J., Rao, B., & Kreutz-Delgado, K. (1996). Comparison of basis selection methods. In Proceedings of the 30th Asilomar Conference on Signals, Systems, and Computers. Pacific Grove, CA: IEEE.
-
(1996)
Proceedings of the 30th Asilomar Conference on Signals, Systems, and Computers
-
-
Adler, J.1
Rao, B.2
Kreutz-Delgado, K.3
-
2
-
-
0033561886
-
Independent factor analysis
-
Attias, H. (1999). Independent factor analysis. Neural Computation, 11(4), 803-851.
-
(1999)
Neural Computation
, vol.11
, Issue.4
, pp. 803-851
-
-
Attias, H.1
-
4
-
-
0029411030
-
An information-maximization approach to blind separation and blind deconvolution
-
Bell, A., & Sejnowski, T. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7, 1129-1159.
-
(1995)
Neural Computation
, vol.7
, pp. 1129-1159
-
-
Bell, A.1
Sejnowski, T.2
-
5
-
-
0026686048
-
Entropy-based algorithms for best basis selection
-
Coifman, R., & Wickerhauser, M. (1992). Entropy-based algorithms for best basis selection. IEEE Transactions on Information Theory, IT-38(2), 713-718.
-
(1992)
IEEE Transactions on Information Theory
, vol.IT-38
, Issue.2
, pp. 713-718
-
-
Coifman, R.1
Wickerhauser, M.2
-
6
-
-
0028416938
-
Independent component analysis: A new concept?
-
Comon, P. (1994). Independent component analysis: A new concept? Signal Processing, 36, 287-314.
-
(1994)
Signal Processing
, vol.36
, pp. 287-314
-
-
Comon, P.1
-
10
-
-
85013502775
-
On minimum entropy segmentation
-
C. Chui, L. Montefusco, & L. Puccio (Eds.). San Diego, CA: Academic Press
-
Donoho, D. (1994). On minimum entropy segmentation. In C. Chui, L. Montefusco, & L. Puccio (Eds.), Wavelets: Theory, algorithms, and applications (pp. 233-269). San Diego, CA: Academic Press.
-
(1994)
Wavelets: Theory, Algorithms, and Applications
, pp. 233-269
-
-
Donoho, D.1
-
13
-
-
33750403428
-
Frame design using FOCUSS with method of optimal directions (MOD)
-
Tronheim, Norway: IEEE
-
Engan, K., Rao, B., & Kreutz-Delgado, K. (1999). Frame design using FOCUSS with method of optimal directions (MOD). In Proc. NORSIG-99. Tronheim, Norway: IEEE.
-
(1999)
Proc. NORSIG-99
-
-
Engan, K.1
Rao, B.2
Kreutz-Delgado, K.3
-
14
-
-
0012203272
-
Regularized FOCUSS for subset selection in noise
-
Kolmarden, Sweden: IEEE
-
Engan, K., Rao, B. D., & Kreutz-Delgado, K. (2000). Regularized FOCUSS for subset selection in noise. In Proc. NORSIG 2000, Sweden, June, 2000 (pp. 247-250). Kolmarden, Sweden: IEEE.
-
(2000)
Proc. NORSIG 2000, Sweden, June, 2000
, pp. 247-250
-
-
Engan, K.1
Rao, B.D.2
Kreutz-Delgado, K.3
-
15
-
-
0000929221
-
What is the goal of sensory coding
-
Field, D. (1994). What is the goal of sensory coding. Neural Computation, 6, 559-599.
-
(1994)
Neural Computation
, vol.6
, pp. 559-599
-
-
Field, D.1
-
16
-
-
0038132749
-
A variational method for learning sparse and overcomplete representations
-
Girolami, M. (2001). A variational method for learning sparse and overcomplete representations. Neural Computation, 13, 2517-2532.
-
(2001)
Neural Computation
, vol.13
, pp. 2517-2532
-
-
Girolami, M.1
-
17
-
-
0028805010
-
Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm
-
Gorodnitsky, I., George, J., & Rao, B. (1995). Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm. Journal of Electroencephalography and Clinical Neurophysiology, 95(4), 231-251.
-
(1995)
Journal of Electroencephalography and Clinical Neurophysiology
, vol.95
, Issue.4
, pp. 231-251
-
-
Gorodnitsky, I.1
George, J.2
Rao, B.3
-
18
-
-
0031102203
-
Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm
-
Gorodnitsky, I., & Rao, B. (1997). Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm. IEEE Trans. Signal Processing, 45(3), 600-616.
-
(1997)
IEEE Trans. Signal Processing
, vol.45
, Issue.3
, pp. 600-616
-
-
Gorodnitsky, I.1
Rao, B.2
-
19
-
-
0001632418
-
The use of the L-curve in the regularization of discrete ill-posed problems
-
Hansen, P. C., & O'Leary, D. P. (1993). The use of the L-curve in the regularization of discrete ill-posed problems. SIAM J. Set. Comput., 14, 1487-1503.
-
(1993)
SIAM J. Set. Comput.
, vol.14
, pp. 1487-1503
-
-
Hansen, P.C.1
O'Leary, D.P.2
-
20
-
-
0033308514
-
A fast algorithm for estimating overcomplete ICA bases for image windows
-
Washington, DC
-
Hyvärinen, A., Cristescu, R., & Oja, E. (1999). A fast algorithm for estimating overcomplete ICA bases for image windows. In Proc. Int. Joint Conf. on Neural Networks (IJCNN'99) (pp. 894-899). Washington, DC.
-
(1999)
Proc. Int. Joint Conf. on Neural Networks (IJCNN'99)
, pp. 894-899
-
-
Hyvärinen, A.1
Cristescu, R.2
Oja, E.3
-
24
-
-
0006489268
-
A general approach to sparse basis selection: Majorization, concavity, and affine scaling
-
(Full Report with Proofs) San Diego: University of California
-
Kreutz-Delgado, K., & Rao, B. (1997). A general approach to sparse basis selection: Majorization, concavity, and affine Scaling (Full Report with Proofs) (Center for Information Engineering Report No. UCSD-CIE-97-7-1). San Diego: University of California. Available on-line at: http://dsp.ucsd.edu/̃kreutz.
-
(1997)
Center for Information Engineering Report No. UCSD-CIE-97-7-1
, vol.UCSD-CIE-97-7-1
-
-
Kreutz-Delgado, K.1
Rao, B.2
-
28
-
-
0032677420
-
Sparse basis selection, ICA, and majorization: Towards a unified perspective
-
Phoenix, AZ
-
Kreutz-Delgado, K., & Rao, B. (1999). Sparse basis selection, ICA, and majorization: Towards a unified perspective. In Proc. 1999 ICASSP. Phoenix, AZ.
-
(1999)
Proc. 1999 ICASSP
-
-
Kreutz-Delgado, K.1
Rao, B.2
-
29
-
-
0033348156
-
Novel algorithms for learning overcomplete Dictionaries
-
Pacific Grove, CA: IEEE
-
Kreutz-Delgado, K., Rao, B., & Engan, K. (1999). Novel algorithms for learning overcomplete Dictionaries. In Proc. 1999 Asilomar Conference. Pacific Grove, CA: IEEE.
-
(1999)
Proc. 1999 Asilomar Conference
-
-
Kreutz-Delgado, K.1
Rao, B.2
Engan, K.3
-
30
-
-
0038461917
-
Convex/Schur-convex (CSC) log-priors and sparse coding
-
Pasadena, CA.
-
Kreutz-Delgado, K., Rao, B., Engan, K., Lee, T.-W., & Sejnowski, T. (1999a). Convex/Schur-convex (CSC) log-priors and sparse coding. In Proc. 6th Joint Symposium on Neural Computation. Pasadena, CA.
-
(1999)
Proc. 6th Joint Symposium on Neural Computation
-
-
Kreutz-Delgado, K.1
Rao, B.2
Engan, K.3
Lee, T.-W.4
Sejnowski, T.5
-
31
-
-
0043170656
-
Learning overcomplete dictionaries: Convex/Schur-convex (CSC) log-priors, factorial codes, and independent/dependent component analysis (I/DCA)
-
Pasadena, CA
-
Kreutz-Delgado, K., Rao, B., Engan, K., Lee, T.-W., & Sejnowski, T. (1999b). Learning overcomplete dictionaries: Convex/Schur-convex (CSC) log-priors, factorial codes, and independent/dependent component analysis (I/DCA). In Proc. 6th Joint Symposium on Neural Computation. Pasadena, CA.
-
(1999)
Proc. 6th Joint Symposium on Neural Computation
-
-
Kreutz-Delgado, K.1
Rao, B.2
Engan, K.3
Lee, T.-W.4
Sejnowski, T.5
-
32
-
-
0033556834
-
Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
-
Lee, T.-W., Girolami, M., & Sejnowski, T. (1999). Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources. Neural Computation, 11(2), 417-441.
-
(1999)
Neural Computation
, vol.11
, Issue.2
, pp. 417-441
-
-
Lee, T.-W.1
Girolami, M.2
Sejnowski, T.3
-
33
-
-
0032606945
-
A probabilistic framework for the adaptation and comparison of image codes
-
Lewicki, M. S., & Olshausen, B. A. (1999). A probabilistic framework for the adaptation and comparison of image codes. J. Opt. Soc. Am. A, 16(7), 1587-1601.
-
(1999)
J. Opt. Soc. Am. A
, vol.16
, Issue.7
, pp. 1587-1601
-
-
Lewicki, M.S.1
Olshausen, B.A.2
-
34
-
-
0034133184
-
Learning overcomplete representations
-
Lewicki, M. S., & Sejnowski, T. J. (2000). Learning overcomplete representations. Neural Computation, 12(2), 337-365.
-
(2000)
Neural Computation
, vol.12
, Issue.2
, pp. 337-365
-
-
Lewicki, M.S.1
Sejnowski, T.J.2
-
35
-
-
0027842081
-
Matching pursuits with time-frequency dictionaries
-
Mallat, S., & Zhang, Z. (1993). Matching pursuits with time-frequency dictionaries. IEEE Trans. ASSP, 41(12), 3397-3415.
-
(1993)
IEEE Trans. ASSP
, vol.41
, Issue.12
, pp. 3397-3415
-
-
Mallat, S.1
Zhang, Z.2
-
38
-
-
0000772267
-
Nonlinear neurons in the low noise limit: A factorial code maximizes information transfer
-
Nadal, J.-P., & Parga, N. (1994). Nonlinear neurons in the low noise limit: A factorial code maximizes information transfer. Network, 5, 565-581.
-
(1994)
Network
, vol.5
, pp. 565-581
-
-
Nadal, J.-P.1
Parga, N.2
-
39
-
-
0029938380
-
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
-
Olshausen, B., & Field, D. (1996). Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 607-609.
-
(1996)
Nature
, vol.381
, pp. 607-609
-
-
Olshausen, B.1
Field, D.2
-
40
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by V1?
-
Olshausen, B., & Field, D. (1997). Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37, 3311-3325.
-
(1997)
Vision Research
, vol.37
, pp. 3311-3325
-
-
Olshausen, B.1
Field, D.2
-
41
-
-
0030285552
-
Blind separation of instantaneous mixture of sources via an independent component analysis
-
Pham, D. (1996). Blind separation of instantaneous mixture of sources via an independent component analysis. IEEE Trans. Signal Processing, 44(11), 2768-2779.
-
(1996)
IEEE Trans. Signal Processing
, vol.44
, Issue.11
, pp. 2768-2779
-
-
Pham, D.1
-
42
-
-
0035062596
-
Resolution, separation of retinal ganglion cells, and cortical magnification in humans
-
Popovic, Z., & Sjöstrand, J. (2001). Resolution, separation of retinal ganglion cells, and cortical magnification in humans. Vision Research, 41, 1313-1319.
-
(2001)
Vision Research
, vol.41
, pp. 1313-1319
-
-
Popovic, Z.1
Sjöstrand, J.2
-
44
-
-
0031640362
-
Signal processing with the sparseness constraint
-
New York: IEEE
-
Rao, B. (1998). Signal processing with the sparseness constraint. In Proc. 1998 ICASSP. New York: IEEE.
-
(1998)
Proc. 1998 ICASSP
-
-
Rao, B.1
-
45
-
-
0041667666
-
-
Manuscript submitted for publication
-
Rao, B. D., Engan, K., Cotter, S. F., & Kreutz-Delgado, K. (2002). Subset selection in noise based on diversity measure minimization. Manuscript submitted for publication.
-
(2002)
Subset Selection in Noise Based on Diversity Measure Minimization
-
-
Rao, B.D.1
Engan, K.2
Cotter, S.F.3
Kreutz-Delgado, K.4
-
46
-
-
0029725779
-
Affine scaling transformation based methods for computing low complexity sparse solutions
-
New York: IEEE
-
Rao, B., & Gorodnitsky, I. (1997). Affine scaling transformation based methods for computing low complexity sparse solutions. In Proc. 1996 ICASSP (Vol. 2, pp. 1783-1786). New York: IEEE.
-
(1997)
Proc. 1996 ICASSP
, vol.2
, pp. 1783-1786
-
-
Rao, B.1
Gorodnitsky, I.2
-
47
-
-
0031648995
-
Deriving algorithms for computing sparse solutions to linear inverse problems
-
J. Neyman (Ed.), New York: IEEE
-
Rao, B., & Kreutz-Delgado, K. (1997). Deriving algorithms for computing sparse solutions to linear inverse problems. In J. Neyman (Ed.), Proceedings of the 1997 Asilomar Conference on Circuits, Systems, and Computers. New York: IEEE.
-
(1997)
Proceedings of the 1997 Asilomar Conference on Circuits, Systems, and Computers
-
-
Rao, B.1
Kreutz-Delgado, K.2
-
50
-
-
0032712352
-
An affine scaling methodology for best basis selection
-
Rao, B., & Kreutz-Delgado, K. (1999). An affine scaling methodology for best basis selection. IEEE Trans. Signal Processing, 1, 187-202.
-
(1999)
IEEE Trans. Signal Processing
, vol.1
, pp. 187-202
-
-
Rao, B.1
Kreutz-Delgado, K.2
-
51
-
-
0032090128
-
Independent component analysis: Source assessment and separation, a Bayesian approach
-
Roberts, S. (1998). Independent component analysis: Source assessment and separation, a Bayesian approach. IEE (Brit.) Proc. Vis. Image Signal Processing, 145(3), 149-154.
-
(1998)
IEE (Brit.) Proc. Vis. Image Signal Processing
, vol.145
, Issue.3
, pp. 149-154
-
-
Roberts, S.1
-
52
-
-
0004267646
-
-
Princeton, NJ: Princeton University Press
-
Rockafellar, R. (1970). Convex analysis. Princeton, NJ: Princeton University Press.
-
(1970)
Convex Analysis
-
-
Rockafellar, R.1
-
54
-
-
0030871225
-
Selective feature extraction via signal decomposition
-
Wang, K., Lee, C., & Juang, B. (1997). Selective feature extraction via signal decomposition. IEEE Signal Processing Letters, 4(1), 8-11.
-
(1997)
IEEE Signal Processing Letters
, vol.4
, Issue.1
, pp. 8-11
-
-
Wang, K.1
Lee, C.2
Juang, B.3
-
55
-
-
0019390123
-
Pattern recognition as a quest for minimum entropy
-
Watanabe, S. (1981). Pattern recognition as a quest for minimum entropy. Pattern Recognition, 13(5), 381-387.
-
(1981)
Pattern Recognition
, vol.13
, Issue.5
, pp. 381-387
-
-
Watanabe, S.1
-
57
-
-
0000806445
-
Minimax entropy principle and its application to texture modeling
-
Zhu, S., Wu, Y., & Mumford, D. (1997). Minimax entropy principle and its application to texture modeling. Neural Computation, 9, 1627-1660.
-
(1997)
Neural Computation
, vol.9
, pp. 1627-1660
-
-
Zhu, S.1
Wu, Y.2
Mumford, D.3
-
58
-
-
0000660321
-
Blind source separation by sparse decomposition in a signal dictionary
-
Zibulevsky, M., & Pearlmutter, B. A. (2001). Blind source separation by sparse decomposition in a signal dictionary. Neural Computation, 13(4), 863-882.
-
(2001)
Neural Computation
, vol.13
, Issue.4
, pp. 863-882
-
-
Zibulevsky, M.1
Pearlmutter, B.A.2
|