Michael I. Miller
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Michael I. Miller's AcademicInfluence.com Rankings
Michael I. Millerengineering Degrees
Engineering
#8274
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#9786
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Electrical Engineering
#2590
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#2717
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Michael I. Millercomputer-science Degrees
Computer Science
#11177
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#11810
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Information Management
#136
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#138
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Computer Graphics
#200
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#205
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Machine Learning
#5111
World Rank
#5175
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Engineering Computer Science
Michael I. Miller's Degrees
- PhD Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering Stanford University
Why Is Michael I. Miller Influential?
(Suggest an Edit or Addition)Michael I. Miller's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Deformable templates using large deformation kinematics (1996) (1335)
- Random Point Processes in Time and Space (1991) (914)
- Noise and Edge Artifacts in Maximum-Likelihood Reconstructions for Emission Tomography (1987) (442)
- Variational problems on ows of di eomorphisms for image matching (1998) (338)
- The Use of Sieves to Stabilize Images Produced with the EM Algorithm for Emission Tomography (1985) (305)
- Maximum-likelihood narrow-band direction finding and the EM algorithm (1990) (232)
- Pattern Theory: From Representation to Inference (2007) (225)
- SAR ATR performance using a conditionally Gaussian model (2001) (176)
- The role of likelihood and entropy in incomplete-data problems: Applications to estimating point-process intensities and toeplitz constrained covariances (1987) (151)
- Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition (1995) (135)
- Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR (1998) (135)
- Individualizing Neuroanatomic Atlases Using a Massively Parallel Computer (1996) (130)
- Maximum-Likelihood Reconstruction for Single-Photon Emission Computed-Tomography (1985) (107)
- The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data (1989) (80)
- Automatic target recognition organized via jump-diffusion algorithms (1997) (75)
- Representation of voice pitch in discharge patterns of auditory-nerve fibers (1984) (69)
- On the existence of positive-definite maximum-likelihood estimates of structured covariance matrices (1988) (47)
- Representing and computing regular languages on massively parallel networks (1991) (47)
- Multiple target direction of arrival tracking (1995) (45)
- Maximum a posteriori estimation for SPECT using regularization techniques on massively-parallel computers (1991) (45)
- 3-D maximum a posteriori estimation for single photon emission computed tomography on massively-parallel computers (1993) (43)
- Entropies and combinatorics of random branching processes and context-free languages (1992) (41)
- Jump–diffusion Markov processes on orthogonal groups for object pose estimation (2002) (41)
- Maximum-likelihood estimation for nuclear magnetic resonance spectroscopy (1989) (40)
- General Metropolis-Hastings jump diffusions for automatic target recognition in infrared scenes (1997) (37)
- Ergodic Algorithms on Special Euclidean Groups for ATR (1997) (36)
- Automatic Analysis of Medical Images Using a (1995) (33)
- Information measures for object recognition accommodating signature variability (2000) (30)
- Maximum-likelihood estimation applied to electron microscopic autoradiography (1985) (27)
- An Evaluation of the Use of Sieves for Producing Estimates. Of Radioactivity Distributions with the EM Algorithm for PET (1986) (26)
- Jump-diffusion processes for the automated understanding of FLIR scenes (1994) (22)
- Accommodating geometric and thermodynamic variability for forward-looking infrared sensors (1997) (22)
- Bayesian inference of species diffusion in the West African Agama agama species group (Reptilia, Agamidae) (2017) (22)
- Asymptotic Performance Analysis of Bayesian Object Recognition (1998) (21)
- Image reconstruction for 3D light microscopy with a regularized linear method incorporating a smoothness prior (1993) (20)
- Maximum-likelihood estimation of complex sinusoids and Toeplitz covariances (1994) (18)
- Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Hilbert-schmidt Lower Bounds for Estimators on Matrix Lie Groups (1998) (17)
- Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces (1997) (16)
- A Bayesian approach incorporating Rissanen complexity for learning Markov random field texture models (1990) (16)
- Bayesian imaging using Good's roughness measure-implementation on a massively parallel processor (1988) (15)
- Unification of detection, tracking, and recognition for millimeter wave and infrared sensors (1995) (15)
- Multispectral active-passive sensor fusion for ground-based target orientation estimation (1998) (15)
- Multispectral sensor fusion for ground-based target orientation estimation: FLIR, ladar, HRR (1999) (14)
- Membranes, mitochondria and amoebae: shape models (1994) (14)
- A likelihood-based approach to joint target tracking and identification (1993) (13)
- Rate-distortion theory applied to automatic object recognition (2000) (11)
- Performance analysis for ground-based target orientation estimation: FLIR/LADAR sensor fusion (1999) (11)
- Self-Exciting Point Processes (1991) (11)
- Large deviations for coding Markov chains and Gibbs random fields (1993) (11)
- Implementation of jump-diffusion algorithms for understanding FLIR scenes (1995) (10)
- Automated Target Tracking and Recognition Using Jump-Diffusion Processes. (1995) (10)
- Parallel Algorithms for Maximum-Likelihood Nuclear Magnetic Resonance Spectroscopy (1993) (10)
- Information measures for object recognition (1998) (9)
- Comparison of automated and manual segmentation of hippocampus MR images (1995) (8)
- Mapping Rule-Based And Stochastic Constraints To Connection Architectures: Implication For Hierarchical Image Processing (1988) (7)
- Representations of shape for structural inference in infrared scenes (1997) (7)
- A case study in statistical image processing: positron-emission tomography (1991) (7)
- Doubly Stochastic Poisson-Processes (1991) (6)
- Modeling clutter and target signatures for pattern-theoretic understanding of infrared scenes (1998) (6)
- Monte Carlo Techniques for Automated Target Recognition (2001) (6)
- Jump-di usion Markov Processes on Or-thogonal Groups for Object Post Estimation (2002) (5)
- Jump-diffusion processes on matrix Lie groups for Bayesian inference (1999) (5)
- An EM Algorithm For Direction-Of-Arrival Estimation For Narrowband Signals In Noiset (1988) (5)
- Lie group parametrization for dynamics based prior in ATR (1994) (5)
- A personal computer based implementation of the maximum‐likelihood method of analysis of electron microscope autoradiographs (1992) (5)
- An Application Of The Global Model (1991) (5)
- Maximum Likelihood and the EM Algorithm for 2D NMR Spectroscopy (1993) (5)
- Bayesian Inference of Regular Grammar and Markov Source Models (1989) (4)
- Regularizing images in emission tomography via an extension of Good's roughness penalty (1992) (4)
- Representations of thermodynamic variability in the automated understanding of FLIR scenes (1996) (4)
- A unified approach for hierarchical imaging based on joint hypothesis testing and parameter estimation (1989) (4)
- Learning regular grammars on connection architectures (1989) (4)
- Rate-Distortion Theoretic Codebook Design for automatic Object Recognition (1998) (3)
- Performance Bounds for ATR based on Compressed Data (1998) (3)
- Maximum likelihood reconstruction algorithm for magnetic resonance imaging (1990) (3)
- Statistics of and Physiological Mechanisms for Self-exciting Point-process Models of Auditory Nerve Discharge (1992) (3)
- Parallel algorithms for maximum a posteriori estimation of spin density and spin-spin decay in magnetic resonance imaging (1995) (3)
- Translated Poisson-Processes (1991) (3)
- Detection of multiple airborne targets from multisensor data (1995) (2)
- Estimation of pose and location of ground targets for ATR (1999) (2)
- Filtered Poisson-Processes (1991) (2)
- An Alternating Maximization Of The Entropy/Likelihood Function For Image Reconstruction And Spectrum Estimation (1986) (2)
- Temporal representation of CV syllables in populations of auditory‐nerve fibers (1981) (2)
- On the equivalence of regular grammars and stochastic constraints: applications to image processing on massively parallel processors (1991) (2)
- Reflectivity models for radar target recognition (1993) (2)
- Quadratic analysis of information measures for object recognition (1999) (2)
- Erratum: ‘‘Algorithms for removing recovery‐related distortion from auditory‐nerve discharge patterns’’ [J. Acoust. Soc. Am. 77, 1452–1464 (1985)] (1986) (2)
- Markov random fields on graphs for natural languages (1994) (1)
- Strategies for the Representation of Broadband Stimuli in the Discharge Patterns of Auditory-Nerve Fibers (1986) (1)
- Seismic model parameter estimation using least-squares migration (2005) (1)
- Detection bounds for automatic target recognition in compressed domain (1998) (1)
- Jump-diffusion based sampling algorithm for target tracking and recognition (1993) (1)
- Stochastic representation of memoryless Boolean functions: application to boundary estimation at low contrast (1990) (1)
- Compound Poisson-Processes (1991) (1)
- Point and Counting Processes: Introduction and Preliminaries (1991) (1)
- A bayesian approach incorporating stochastic complexity for learning regular grammar models and image models: application to segmenting biomedical images (1990) (1)
- A Stochastic Model Of Synaptic Transmission and Auditory Nerve Discharge (Part II) (1994) (1)
- Large deviations for the asymptotics of Ziv-Lempel codes for 2-D Gibbs fields (1992) (1)
- Noiseand Edge Artifacts inMaximum-Likelihood Reconstructions forEmissionTomography (1987) (0)
- APPLICATION TO BOUNDARY ESTIMATION AT LOW CONTRAST (1990) (0)
- Electronic Signals and Systems Research Laboratory (1989) (0)
- Representations of thermodynamic variabilityin the automated understanding of FLIR scenesAaron (2007) (0)
- Application of Likelihood and Entropy for Toeplitz Constrained Covariance Estimation (1988) (0)
- An Estimation-Theoretic Approach For Imaging Diffuse Radar-Targets (1988) (0)
- Validation of maximum-likelihood analysis of electron microscopic autoradiographs (1986) (0)
- Iterative Bayesian method for segmenting images that have undergone a gray-level degradation (1992) (0)
- Estimation Under Quantum-Limited Conditions* (1986) (0)
- Maximum-likelihood wideband direction-of-arrival estimation (1989) (0)
- Automatic Target Recognition via the Simulation of Infrared (1995) (0)
- Spectrum estimation via maximum likelihood estimation of Toeplitz constrained covariances (1988) (0)
- A Research Center in the Scientific Foundation of Image Representation and Analysis (CIS) (2001) (0)
- SEMINAR ON DISTRIBUTION PROBLEMS (2016) (0)
- Signal Processing for Radar Target Tracking and Identification (1996) (0)
- Regularized linear method for reconstruction of 3-D microscopic objects (1991) (0)
- of Maximum Likelihood Reconstruction for SPECT (1990) (0)
- Signature Random Fields for Accommodating Illumination Variability (2001) (0)
- Empirically generated metric spaces for ATR in clutter (2002) (0)
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What Schools Are Affiliated With Michael I. Miller?
Michael I. Miller is affiliated with the following schools:
