Lucas C. Parra

2008
21	EE	Jonathan Le Roux, Alain de Cheveigné, Lucas C. Parra: Adaptive Template Matching with Shift-Invariant Semi-NMF. NIPS 2008: 921-928
2007
20	EE	Christoforos Christoforou, Paul Sajda, Lucas C. Parra: Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS 2007
2006
19	EE	Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jing-Yu Liu, Yan Wang, Lucas C. Parra, A. D. Gerson, Paul Sajda: Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. IJCNN 2006: 1376-1383
18	EE	Clay Spence, Lucas C. Parra, Paul Sajda: Varying complexity in tree-structured image distribution models. IEEE Transactions on Image Processing 15(2): 319-330 (2006)
2004
17	EE	Anthony J. Bell, Lucas C. Parra: Maximising Sensitivity in a Spiking Network. NIPS 2004
16	EE	Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra: Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans. Med. Imaging 23(12): 1453-1465 (2004)
2003
15	EE	Lucas C. Parra, Paul Sajda: Blind Source Separation via Generalized Eigenvalue Decomposition. Journal of Machine Learning Research 4: 1261-1269 (2003)
14	EE	Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda: Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing 52-54: 177-183 (2003)
2002
13	EE	Paul Sajda, Clay Spence, Lucas C. Parra: Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI 2002: 165-168
2000
12	EE	Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa: Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR 2000: 159-165
11		Clay Spence, Lucas C. Parra, Paul Sajda: Hierarchical Image Probability (HIP) Models. ICIP 2000
10		Lucas C. Parra, Clay Spence, Paul Sajda: Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS 2000: 786-792
9	EE	Lucas C. Parra, Clay Spence: On-line Convolutive Blind Source Separation of Non-Stationary Signals. VLSI Signal Processing 26(1-2): 39-46 (2000)
1999
8	EE	Clay Spence, Lucas C. Parra: Hierarchical Image Probability (H1P) Models. NIPS 1999: 848-854
7	EE	Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller: Unmixing Hyperspectral Data. NIPS 1999: 942-948
1998
6		Lucas C. Parra, Harrison H. Barrett: List-Mode Likelihood EM Algorithm and Noise Estimation Demonstrated on 2D-PET. IEEE Trans. Med. Imaging 17(2): 228-235 (1998)
1997
5	EE	Lucas C. Parra: Temporal Models in Blind Source Separation. Summer School on Neural Networks 1997: 229-247
4	EE	Gustavo Deco, Lucas C. Parra: Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. Neural Networks 10(4): 683-691 (1997)
1996
3	EE	Barak A. Pearlmutter, Lucas C. Parra: Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA. NIPS 1996: 613-619
1995
2	EE	Lucas C. Parra: Symplectic Nonlinear Component Analysis. NIPS 1995: 437-443
1	EE	Lucas C. Parra, Gustavo Deco: Continuous Boltzmann machine with rotor neurons. Neural Networks 8(3): 375-385 (1995)

Coauthor Index

1	Christopher V. Alvino	[14]
2	Harrison H. Barrett	[6]
3	Anthony J. Bell	[17]
4	Truman R. Brown	[16]
5	Alain de Cheveigné	[21]
6	Christoforos Christoforou	[20]
7	Gustavo Deco	[1] [4]
8	Shuyan Du	[16]
9	A. D. Gerson	[19]
10	Jing-Yu Liu	[19]
11	Xiangling Mao	[16]
12	Christopher J. McKinney	[19]
13	Klaus-Robert Müller	[7]
14	Robert M. Nishikawa	[12]
15	Allen Osman	[14]
16	Barak A. Pearlmutter	[3] [14]
17	Jonathan Le Roux	[21]
18	Paul Sajda	[7] [10] [11] [12] [13] [14] [15] [16] [18] [19] [20]
19	Dikoma C. Shungu	[16]
20	Clay Spence	[7] [8] [9] [10] [11] [12] [13] [18]
21	Radka Stoyanova	[16]
22	Matthew T. Sutherland	[19]
23	Akaysha C. Tang	[14] [19]
24	Yan Wang	[19]
25	Nick Yeung	[14]
26	Andreas Ziehe	[7]

Colors in the list of coauthors