Michael G. Thomason - researchr alias

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Viewing Publication 1 - 37 from 37

2021

Localizing hot spots in Poisson radiation data matrices: nonnegative tensor factorization and phase congruencyMichael G. Thomason, Benjamin S. Jordan. jbd, 8(1):119, 2021. [doi]

2014

Sequential Anomaly Detection Using Wireless Sensor Networks in Unknown EnvironmentYuanyuan Li, Michael G. Thomason, Lynne E. Parker. In Paolo Spagnolo, Pier Luigi Mazzeo, Cosimo Distante, editors, Human Behavior Understanding in Networked Sensing - Theory and Applications of Networks of Sensors. pages 99-123, Springer, 2014. [doi]

2011

Higher order singular value decomposition of tensors for fusion of registered imagesMichael G. Thomason, Jens Gregor. jei, 20(1):13023, 2011. [doi]

2010

Detecting time-related changes in Wireless Sensor Networks using symbol compression and Probabilistic Suffix TreesYuanyuan Li, Michael G. Thomason, Lynne E. Parker. iros 2010: 2946-2951 [doi]

2008

Probabilistic suffix models for API sequence analysis of Windows XP applicationsGeoffrey Mazeroff, Jens Gregor, Michael G. Thomason, Richard Ford. PR, 41(1):90-101, 2008. [doi]

2007

An Exploration of Non-asymptotic Low-Density, Parity Check Erasure Codes for Wide-Area Storage ApplicationsJames S. Plank, Michael G. Thomason. ppl, 17(1):103-123, 2007. [doi]

2005

Small Parity-Check Erasure Codes - Exploration and ObservationsJames S. Plank, Adam L. Buchsbaum, Rebecca L. Collins, Michael G. Thomason. dsn 2005: 326-335 [doi]

2004

A Practical Analysis of Low-Density Parity-Check Erasure Codes for Wide-Area Storage ApplicationsJames S. Plank, Michael G. Thomason. dsn 2004: 115-124 [doi]

Simulation of emission tomography using grid middleware for distributed computingMichael G. Thomason, R. F. Longton, Jens Gregor, G. T. Smith, R. K. Hutson. cmpb, 75(3):251-258, 2004. [doi]

2001

Processor Allocation and Checkpoint Interval Selection in Cluster Computing SystemsJames S. Plank, Michael G. Thomason. jpdc, 61(11):1570-1590, 2001. [doi]

2000

A Markov chain model for predicting the reliability of multi-build softwareJames A. Whittaker, Kamel Rekab, Michael G. Thomason. INFSOF, 42(12):889-894, 2000.

1999

Stochastic Performance Prediction for Iterative Algorithms in Distributed EnvironmentsHenri Casanova, Michael G. Thomason, Jack Dongarra. jpdc, 58(1):68-91, 1999.

The Average Availability of Parallel Checkpointing Systems and Its Importance in Selecting Runtime ParametersJames S. Plank, Michael G. Thomason. ftcs 1999: 250-257 [doi]

Rare failure-state in a Markov chain model for software reliabilityMichael G. Thomason, James A. Whittaker. issre 1999: 12-19 [doi]

1996

Efficient dynamic programming alignment of cyclic strings by shift eliminationJens Gregor, Michael G. Thomason. PR, 29(7):1179-1185, 1996. [doi]

A disagreement count scheme for inference of constrained Markov networksJens Gregor, Michael G. Thomason. icgi 1996: 168-178

EM-ML PET reconstruction on multiple processors with reduced communicationsSøren P. Olesen, Jens Gregor, Michael G. Thomason, Gary T. Smith. imst, 7(3):215-223, 1996. [doi]

1994

A Markov Chain Model for Statistical Software TestingJames A. Whittaker, Michael G. Thomason. TSE, 20(10):812-824, 1994. [doi]

1993

Dynamic Programming Alignment of Sequences Representing Cyclic PatternsJens Gregor, Michael G. Thomason. pami, 15(2):129-135, 1993. [doi]

Hybrid Pattern Recognition Using Markov NetworksJens Gregor, Michael G. Thomason. pami, 15(6):651-656, 1993. [doi]

1990

Generating Functions for Stochastic Context-Free GrammarsMichael G. Thomason. ijprai, 4(4):553-572, 1990. [doi]

1989

Knowledge-based analysis of satellite oceanographic imagesMichael G. Thomason. ijis, 4(2):143-154, 1989. [doi]

1987

Sequential inference of Markov networks by dynamic programming for structural pattern recognitionMichael G. Thomason, Erik Granum. prl, 5(1):31-39, 1987. [doi]

1986

Experiments in dynamic programming inference of Markov networks with strings representing speech dataMichael G. Thomason, Erik Granum, R. E. Blake. PR, 19(5):343-352, 1986. [doi]

Dynamic Programming Inference of Markov Networks from Finite Sets of Sample StringsMichael G. Thomason, Erik Granum. pami, 8(4):491-501, 1986. [doi]

Knowledge-based processing/interpretation of oceanographic satellite dataMichael G. Thomason, Richard E. Blake, Matthew Lybanon. ismis 1986: 415-422 [doi]

1983

Symmetric and Threshold Boolean Functions Are ExhaustiveBernard M. E. Moret, Michael G. Thomason, Rafael C. Gonzalez. TC, 32(12):1211-1212, 1983.

1982

Syntactic/semantic techniques in pattern recognition: A surveyMichael G. Thomason. ijpp, 11(2):75-100, 1982. [doi]

1981

Stochastic syntax-directed translations in syntactic pattern processingMichael G. Thomason. PR, 14(1-6):187-190, 1981. [doi]

1980

The Activity of a Variable and Its Relation to Decision TreesBernard M. E. Moret, Michael G. Thomason, Rafael C. Gonzalez. TOPLAS, 2(4):580-595, 1980. [doi]

1979

Properties of stochastic syntax-directed translation schemataFred J. Maryanski, Michael G. Thomason. ijpp, 8(2):89-110, 1979. [doi]

1976

Boolean difference techniques in fault tree analysisMichael G. Thomason, E. W. Page. ijpp, 5(1):81-88, 1976. [doi]

1975

Syntactic Recognition of Imperfectly Specified PatternsMichael G. Thomason, Rafael C. Gonzalez. TC, 24(1):93-95, 1975.

Stochastic Syntax-Directed Translation Schemata for Correction of Errors in Context-Free LanguagesMichael G. Thomason. TC, 24(12):1211-1216, 1975.

1974

Deterministic Acceptors of Regular Fuzzy LanguagesMichael G. Thomason, Peter N. Marinos. tsmc, 4(2):228-230, 1974. [doi]

Errors in Regular LanguagesMichael G. Thomason. TC, 23(6):597-602, 1974. [doi]

1973

Finite fuzzy automata, regular fuzzy languages, and pattern recognitionMichael G. Thomason. PR, 5(4):383-390, 1973. [doi]

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