Kenneth Kreutz-Delgado

	2009
19		Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig: Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. ICA 2009: 90-97
	2008
18		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
17		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
16		Joseph F. Murray, Kenneth Kreutz-Delgado: Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. Neural Computation 19(9): 2301-2352 (2007)
15		Joseph F. Murray, Kenneth Kreutz-Delgado: Learning Sparse Overcomplete Codes for Images. VLSI Signal Processing 46(1): 1-13 (2007)
	2006
14		Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig: Super-Gaussian Mixture Source Model for ICA. ICA 2006: 854-861
13		Joseph F. Murray, Kenneth Kreutz-Delgado: Learning Sparse Overcomplete Codes for Images. VLSI Signal Processing 45(1-2): 97-110 (2006)
	2005
12		Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao: Variational EM Algorithms for Non-Gaussian Latent Variable Models. NIPS 2005
11		S. 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)
10		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
9		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
8		S. F. Cotter, Kenneth Kreutz-Delgado, Bhaskar D. Rao: Backward sequential elimination for sparse vector subset selection. Signal Processing 81(9): 1849-1864 (2001)
	1999
7		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
6		Patrick H. Kelly, Edward Hunter, Kenneth Kreutz-Delgado, Ramesh Jain: Lip Posture Estimation using Kinematically Constrained Mixture Models. BMVC 1998
	1994
5		David DeMers, Kenneth Kreutz-Delgado: Canonically Parameterized Families of Inverse Kinematic Functions for Redundant Manipulators. ICRA 1994: 1881-1886
4		Daryush Agahi, Kenneth Kreutz-Delgado: A Star Topology Dynamic Model for Efficient Simulation of Multilimbed Robotic Systems. ICRA 1994: 352-357
	1993
3		David DeMers, Kenneth Kreutz-Delgado: Issues in Learning Global Properties of the Robot Kinematic Mapping. ICRA (1) 1993: 205-212
	1992
2		David DeMers, Kenneth Kreutz-Delgado: Global Regularization of Inverse Kinematics for Redundant Manipulators. NIPS 1992: 255-262
	1991
1		David DeMers, Kenneth Kreutz-Delgado: Learning Global Direct Inverse Kinematics. NIPS 1991: 589-595

Coauthor Index

1	Daryush Agahi	[4]
2	S. F. Cotter	[8] [11]
3	David DeMers	[1] [2] [3] [5]
4	Kjersti Engan	[9] [11]
5	Gordon F. Hughes	[10]
6	Edward Hunter	[6]
7	Yogananda Isukapalli	[18]
8	Ramesh Jain	[6]
9	Patrick H. Kelly	[6]
10	Te-Won Lee	[9]
11	Scott Makeig	[14] [17] [19]
12	Joseph F. Murray	[9] [10] [13] [15] [16]
13	Jason A. Palmer	[12] [14] [17] [19]
14	Bhaskar D. Rao	[7] [8] [9] [11] [12] [17]
15	Terrence J. Sejnowski	[9]
16	David P. Wipf	[12]

Colors in the list of coauthors