Kenneth Kreutz-Delgado

	2012
26		Tasha Frankie, Gordon F. Hughes, Kenneth Kreutz-Delgado: A mathematical model of the trim command in NAND-flash SSDs. ACM Southeast Regional Conference 2012: 59-64
25		Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado: Evolving Signal Processing for Brain-Computer Interfaces. Proceedings of the IEEE 100(Centennial-Issue): 1567-1584 (2012)
	2010
24		Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig: Strong Sub- and Super-Gaussianity. LVA/ICA 2010: 303-310
	2009
23		Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig: Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. ICA 2009: 90-97
22		Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado: A complex cross-spectral distribution model using Normal Variance Mean Mixtures. ICASSP 2009: 3569-3572
	2008
21		Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao: Newton method for the ICA mixture model. ICASSP 2008: 1805-1808
20		Kenneth Kreutz-Delgado, Yogananda Isukapalli: Use of the Newton Method for Blind Adaptive Equalization Based on the Constant Modulus Algorithm. IEEE Transactions on Signal Processing 56(8-2): 3983-3995 (2008)
	2007
19		Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D. Rao, Scott Makeig: Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. ICA 2007: 97-104
18		Joseph F. Murray, Kenneth Kreutz-Delgado: Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. Neural Computation 19(9): 2301-2352 (2007)
17		Joseph F. Murray, Kenneth Kreutz-Delgado: Learning Sparse Overcomplete Codes for Images. VLSI Signal Processing 46(1): 1-13 (2007)
	2006
16		Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig: Super-Gaussian Mixture Source Model for ICA. ICA 2006: 854-861
15		Joseph F. Murray, Kenneth Kreutz-Delgado: Learning Sparse Overcomplete Codes for Images. VLSI Signal Processing 45(1-2): 97-110 (2006)
	2005
14		Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao: Variational EM Algorithms for Non-Gaussian Latent Variable Models. NIPS 2005
13		Shane F. Cotter, Bhaskar D. Rao, Kjersti Engan, Kenneth Kreutz-Delgado: Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Transactions on Signal Processing 53(7): 2477-2488 (2005)
12		Joseph F. Murray, Gordon F. Hughes, Kenneth Kreutz-Delgado: Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application. Journal of Machine Learning Research 6: 783-816 (2005)
	2003
11		Bhaskar D. Rao, Kjersti Engan, Shane F. Cotter, Jason A. Palmer, Kenneth Kreutz-Delgado: Subset selection in noise based on diversity measure minimization. IEEE Transactions on Signal Processing 51(3): 760-770 (2003)
10		Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski: Dictionary Learning Algorithms for Sparse Representation. Neural Computation 15(2): 349-396 (2003)
	2001
9		Shane F. Cotter, Kenneth Kreutz-Delgado, Bhaskar D. Rao: Backward sequential elimination for sparse vector subset selection. Signal Processing 81(9): 1849-1864 (2001)
	1999
8		Bhaskar D. Rao, Kenneth Kreutz-Delgado: An affine scaling methodology for best basis selection. IEEE Transactions on Signal Processing 47(1): 187-200 (1999)
	1998
7		Patrick H. Kelly, Edward Hunter, Kenneth Kreutz-Delgado, Ramesh Jain: Lip Posture Estimation using Kinematically Constrained Mixture Models. BMVC 1998
	1994
6		David DeMers, Kenneth Kreutz-Delgado: Canonically Parameterized Families of Inverse Kinematic Functions for Redundant Manipulators. ICRA 1994: 1881-1886
5		Daryush Agahi, Kenneth Kreutz-Delgado: A Star Topology Dynamic Model for Efficient Simulation of Multilimbed Robotic Systems. ICRA 1994: 352-357
	1993
4		David DeMers, Kenneth Kreutz-Delgado: Issues in Learning Global Properties of the Robot Kinematic Mapping. ICRA (1) 1993: 205-212
	1992
3		David DeMers, Kenneth Kreutz-Delgado: Global Regularization of Inverse Kinematics for Redundant Manipulators. NIPS 1992: 255-262
2		John T. Wen, Kenneth Kreutz-Delgado: Motion and force control of multiple robotic manipulators. Automatica 28(4): 729-743 (1992)
	1991
1		David DeMers, Kenneth Kreutz-Delgado: Learning Global Direct Inverse Kinematics. NIPS 1991: 589-595

Coauthor Index

1	Daryush Agahi	[5]
2	Shane F. Cotter	[9] [11] [13]
3	David DeMers	[1] [3] [4] [6]
4	Kjersti Engan	[10] [11] [13]
5	Tasha Frankie	[26]
6	Gordon F. Hughes	[12] [26]
7	Edward Hunter	[7]
8	Yogananda Isukapalli	[20]
9	Ramesh Jain	[7]
10	Patrick H. Kelly	[7]
11	Christian Kothe	[25]
12	Te-Won Lee	[10]
13	Scott Makeig	[16] [19] [21] [22] [23] [24] [25]
14	Tim Mullen	[25]
15	Joseph F. Murray	[10] [12] [15] [17] [18]
16	Jason A. Palmer	[11] [14] [16] [19] [21] [22] [23] [24]
17	Bhaskar D. Rao	[8] [9] [10] [11] [13] [14] [19] [21]
18	Terrence J. Sejnowski	[10]
19	Nima Bigdely Shamlo	[25]
20	John T. Wen (John Ting-Yung Wen)	[2]
21	David P. Wipf	[14]
22	Zhilin Zhang	[25]

Colors in the list of coauthors

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