David J. Miller

	2009
40		David J. Miller, Yanxin Zhang, Guoqiang Yu, Yongmei Liu, Li Chen, Carl D. Langefeld, David Herrington, Yue Wang: An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions. Bioinformatics 25(19): 2478-2485 (2009)
	2008
39		David J. Miller, Carl A. Nelson, Dmitry Oleynikov, David D. Jones: Pre-operative ordering of minimally invasive surgical tools: A fuzzy inference system approach. Artificial Intelligence in Medicine 43(1): 35-45 (2008)
38		Yitan Zhu, Huai Li, David J. Miller, Zuyi Wang, Jianhua Xuan, Robert Clarke, Eric P. Hoffman, Yue Wang: caBIGTM VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data. BMC Bioinformatics 9: (2008)
37		David J. Miller, Siddharth Pal, Yue Wang: Extensions of transductive learning for distributed ensemble classification and application to biometric authentication. Neurocomputing 72(1-3): 119-125 (2008)
	2007
36		David J. Miller, Siddharth Pal: Transductive Methods for the Distributed Ensemble Classification Problem. Neural Computation 19(3): 856-884 (2007)
35		David J. Miller, Deniz Erdogmus: Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing. VLSI Signal Processing 48(1-2): 1-3 (2007)
34		Siddharth Pal, David J. Miller: An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification. VLSI Signal Processing 48(1-2): 21-37 (2007)
	2006
33		Yuanjian Feng, Zuyi Wang, Yitan Zhu, Jianhua Xuan, David J. Miller: Learning the Tree of Phenotypes Using Genomic Data and VISDA. BIBE 2006: 165-170
32		Jisheng Wang, David J. Miller, George Kesidis: Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification. IEEE Journal on Selected Areas in Communications 24(10): 1929-1941 (2006)
31		Michael W. Graham, David J. Miller: Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection. IEEE Transactions on Signal Processing 54(4): 1289-1303 (2006)
	2005
30		Qi Zhao, David J. Miller: Mixture Modeling with Pairwise, Instance-Level Class Constraints. Neural Computation 17(11): 2482-2507 (2005)
	2004
29		Victor P. Holmes, Wilbur R. Johnson, David J. Miller: Integrating Metadata Tools with the Data Services Archive to Provide Web-based Management of Large-Scale Scientific Simulation Data. Annual Simulation Symposium 2004: 72-79
28		John F. Lindner, Scott B. Hughes, David J. Miller, Bradley C. Thomas, Kurt Wiesenfeld: The flux creep Automaton. I. J. Bifurcation and Chaos 14(3): 1155-1175 (2004)
27		David J. Miller, Elias S. G. Carotti, Yu-Wei Wang, Juan Carlos De Martin: Joint source-channel decoding of predictively and nonpredictively encoded sources: a two-stage estimation approach. IEEE Transactions on Communications 52(9): 1575-1584 (2004)
26		David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle: Guest Editorial for Special Issue on Machine Learning for Signal Processing. VLSI Signal Processing 37(2-3): 171-175 (2004)
25		John Browning, David J. Miller: A Maximum Entropy Approach for Collaborative Filtering. VLSI Signal Processing 37(2-3): 199-209 (2004)
	2003
24		Victor P. Holmes, Wilbur R. Johnson, David J. Miller: Integrating Web Service and Grid Enabling Technologies to Provide Desktop Access to High-Performance Cluster-Based Components for Large-Scale Data Services. Annual Simulation Symposium 2003: 167-174
23		Anne M. Murray, David J. Miller: Automated material handling systems: automated reticle handling: a comparison of distributed and centralized reticle storage and transport. Winter Simulation Conference 2003: 1360-1365
22		David J. Miller, John Browning: A Mixture Model and EM-Based Algorithm for Class Discovery, Robust Classification, and Outlier Rejection in Mixed Labeled/Unlabeled Data Sets. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1468-1483 (2003)
	2002
21		Victor P. Holmes, Stephen D. Kleban, David J. Miller, Constantine J. Pavlakos, Clark A. Poore, Ruthe L. Vandewart, Charles P. Crowley: An Architecture and Implementation to Support Large-scale Data Access in Scientific Simulation Environments. Annual Simulation Symposium 2002: 169-176
	2001
20		Victor P. Holmes, John M. Linebarger, David J. Miller, Ruthe L. Vandewart, Charles P. Crowley: Evolving the Web-based Distributed SI/PDO Architecture for High-Performance Visualization. Annual Simulation Symposium 2001: 151-158
	2000
19		David J. Miller, Lian Yan: Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification. Neural Computation 12(9): 2175-2207 (2000)
	1999
18		MoonSeo Park, David J. Miller: Improved Joint Source-Channel Decoding for Variable-Length Encoded Data Using Soft Decisions and MMSE Estimation. Data Compression Conference 1999: 544
17		Bernd Mohr, Federico Bassetti, Kei Davis, Stefan Hüttemann, Pascale Launay, Dan C. Marinescu, David J. Miller, Ruthe L. Vandewart, Matthias S. Müller, Augustin Prodan: Parallel / High-Performance Object-Oriented Scientific Computing. ECOOP Workshops 1999: 222-239
16		David J. Miller, Ruthe L. Vandewart: An Object-Based Metasystem for Distributed High Performance Simulation and Product Realization. ECOOP Workshops 1999: 230-232
15		Ajit V. Rao, David J. Miller, Kenneth Rose, Allen Gersho: A Deterministic Annealing Approach for Parsimonious Design of Piecewise Regression Models. IEEE Trans. Pattern Anal. Mach. Intell. 21(2): 159-173 (1999)
14		MoonSeo Park, David J. Miller: Improved image decoding over noisy channels using minimum mean-squared estimation and a Markov mesh. IEEE Transactions on Image Processing 8(6): 863-867 (1999)
	1998
13		Jeongjin Roh, David J. Miller: A New Set Partitioning Method for Wavelet-based Image Coding. ICIP (1) 1998: 102-106
12		David J. Miller, Hasan S. Uyar: Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier. Neural Computation 10(2): 281-293 (1998)
	1997
11		MoonSeo Park, David J. Miller: Image Decoding Over Noisy Channels Using Minimum Mean-Squared Estimation and a Markov Mesh. ICIP (3) 1997: 594-
	1996
10		David J. Miller, Hasan S. Uyar: A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data. NIPS 1996: 571-577
9		Kenneth Rose, David J. Miller, Allen Gersho: Entropy-constrained tree-structured vector quantizer design. IEEE Transactions on Image Processing 5(2): 393-398 (1996)
	1995
8		David J. Miller, Ajit V. Rao, Kenneth Rose, Allen Gersho: An Information-theoretic Learning Algorithm for Neural Network Classification. NIPS 1995: 591-597
7		X. Allan Lu, John D. Holt, David J. Miller: Boolean System Revisited: Its Performance and its Behavior. TREC 1995
	1994
6		Kenneth Rose, David J. Miller, Allen Gersho: Entropy-Constrained Tree-Structured Vector Quantizer Design by the Minimum Cross Entropy Principle. Data Compression Conference 1994: 12-21
5		David J. Miller: The role of simulation in semiconductor logistics. Winter Simulation Conference 1994: 885-891
4		David J. Miller, Kenneth Rose: A non-greedy approach to tree-structured clustering. Pattern Recognition Letters 15(7): 683-690 (1994)
	1993
3		David J. Miller, Kenneth Rose: An Improved Sequential Search Multistage Vector Quantizer. Data Compression Conference 1993: 12-21
	1990
2		David J. Miller: Simulation of a Semiconductor Manufacturing Line. Commun. ACM 33(10): 98-108 (1990)
	1989
1		David J. Miller: Implementing the results of a manufacturing simulation in a semiconductor line. Winter Simulation Conference 1989: 922-929

Coauthor Index

1	Tülay Adali	[26]
2	Federico Bassetti	[17]
3	John Browning	[22] [25]
4	Elias S. G. Carotti	[27]
5	Li Chen	[40]
6	Robert Clarke	[38]
7	Charles P. Crowley	[20] [21]
8	Kei Davis	[17]
9	Deniz Erdogmus	[35]
10	Yuanjian Feng	[33]
11	Allen Gersho	[6] [8] [9] [15]
12	Michael W. Graham	[31]
13	David Herrington	[40]
14	Eric P. Hoffman	[38]
15	Victor P. Holmes	[20] [21] [24] [29]
16	John D. Holt	[7]
17	Scott B. Hughes	[28]
18	Marc M. Van Hulle	[26]
19	Stefan Hüttemann	[17]
20	Wilbur R. Johnson	[24] [29]
21	David D. Jones	[39]
22	George Kesidis	[32]
23	Stephen D. Kleban	[21]
24	Carl D. Langefeld	[40]
25	Jan Larsen	[26]
26	Pascale Launay	[17]
27	Huai Li	[38]
28	John F. Lindner	[28]
29	John M. Linebarger	[20]
30	Yongmei Liu	[40]
31	X. Allan Lu	[7]
32	Dan C. Marinescu	[17]
33	Juan Carlos De Martin	[27]
34	Bernd Mohr	[17]
35	Matthias S. Müller	[17]
36	Anne M. Murray	[23]
37	Carl A. Nelson	[39]
38	Dmitry Oleynikov	[39]
39	Siddharth Pal	[34] [36] [37]
40	MoonSeo Park	[11] [14] [18]
41	Constantine J. Pavlakos	[21]
42	Clark A. Poore	[21]
43	Augustin Prodan	[17]
44	Ajit V. Rao	[8] [15]
45	Jeongjin Roh	[13]
46	Kenneth Rose	[3] [4] [6] [8] [9] [15]
47	Bradley C. Thomas	[28]
48	Hasan S. Uyar	[10] [12]
49	Ruthe L. Vandewart	[16] [17] [20] [21]
50	Jisheng Wang	[32]
51	Yu-Wei Wang	[27]
52	Yue Wang	[37] [38] [40]
53	Zuyi Wang	[33] [38]
54	Kurt Wiesenfeld	[28]
55	Jianhua Xuan	[33] [38]
56	Lian Yan	[19]
57	Guoqiang Yu	[40]
58	Yanxin Zhang	[40]
59	Qi Zhao	[30]
60	Yitan Zhu	[33] [38]

Colors in the list of coauthors