David J. Miller

According to our database1, David J. Miller authored at least 117 papers between 1993 and 2019.

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Bibliography

2019
Exploiting the value of class labels on high-dimensional feature spaces: topic models for semi-supervised document classification.
Pattern Anal. Appl., 2019

Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks.
CoRR, 2019

2018
Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion.
IEEE Trans. Neural Netw. Learning Syst., 2018

When Not to Classify: Detection of Reverse Engineering Attacks on DNN Image Classifiers.
CoRR, 2018

A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters.
CoRR, 2018

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation.
CoRR, 2018

Flexible Inference for Cyberbully Incident Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Anomaly Detection of Attacks (Ada) on DNN Classifiers at Test Time.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Unsupervised Parsimonious Cluster-Based Anomaly Detection (PCAD).
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Locally optimal, delay-tolerant predictive source coding.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

Toward Automated Multiparty Privacy Conflict Detection.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes.
IEEE Trans. Neural Netw. Learning Syst., 2017

Semisupervised, Multilabel, Multi-Instance Learning for Structured Data.
Neural Computation, 2017

Automated Functional Analysis of Astrocytes from Chronic Time-Lapse Calcium Imaging Data.
Front. Neuroinform., 2017

When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time.
CoRR, 2017

Adversarial Learning: A Critical Review and Active Learning Study.
CoRR, 2017

Adversarial learning: A critical review and active learning study.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

A Group-Based Personalized Model for Image Privacy Classification and Labeling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Flow based botnet detection through semi-supervised active learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A simulation framework for uneconomic virtual bidding in day-ahead electricity markets.
Proceedings of the 2017 American Control Conference, 2017

2016
ATD: Anomalous Topic Discovery in High Dimensional Discrete Data.
IEEE Trans. Knowl. Data Eng., 2016

A simulation framework for uneconomic virtual bidding in day-ahead electricity markets: Short talk.
SIGMETRICS Performance Evaluation Review, 2016

Graphical Time Warping for Joint Alignment of Multiple Curves.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

IP-level fast re-routing for robustness to mass failure events using a hybrid bandwidth and reliability cost metric.
Proceedings of the 2016 IEEE Military Communications Conference, 2016

FASP: A machine learning approach to functional astrocyte phenotyping from time-lapse calcium imaging data.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Exploiting the value of class labels in topic models for semi-supervised document classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Content-Driven Detection of Cyberbullying on the Instagram Social Network.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Parsimonious Topic Models with Salient Word Discovery.
IEEE Trans. Knowl. Data Eng., 2015

Multicategory Crowdsourcing Accounting for Variable Task Difficulty, Worker Skill, and Worker Intention.
IEEE Trans. Knowl. Data Eng., 2015

Optimizing cluster formation in super-peer networks via local incentive design.
Peer-to-Peer Networking and Applications, 2015

On an Objective Basis for the Maximum Entropy Principle.
Entropy, 2015

Generation bidding game with potentially false attestation of flexible demand.
EURASIP J. Adv. Sig. Proc., 2015

ATD: Anomalous Topic Discovery in High Dimensional Discrete Data.
CoRR, 2015

Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data.
CoRR, 2015

Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014
Instance-Level Constraint-Based Semisupervised Learning With Imposed Space-Partitioning.
IEEE Trans. Neural Netw. Learning Syst., 2014

Parsimonious Topic Models with Salient Word Discovery.
CoRR, 2014

Generation bidding game with flexible demand.
CoRR, 2014

Sparse topic models by parameter sharing.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A Bidding Game for Generators in the Presence of Flexible Demand.
Proceedings of the 9th International Workshop on Feedback Computing, 2014

Detecting anomalous latent classes in a batch of network traffic flows.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
Schema matching and embedded value mapping for databases with opaque column names and mixed continuous and discrete-valued data fields.
ACM Trans. Database Syst., 2013

Multicategory Crowdsourcing Accounting for Plurality in Worker Skill and Intention, Task Difficulty, and Task Heterogeneity.
CoRR, 2013

Latent Interest-Group Discovery and Management by Peer-to-Peer Online Social Networks.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Defeating Tyranny of the Masses in Crowdsourcing: Accounting for Low-Skilled and Adversarial Workers.
Proceedings of the Decision and Game Theory for Security - 4th International Conference, 2013

2012
Nonlinear System Modeling With Random Matrices: Echo State Networks Revisited.
IEEE Trans. Neural Netw. Learning Syst., 2012

Improved Generative Semisupervised Learning Based on Finely Grained Component-Conditional Class Labeling.
Neural Computation, 2012

An Overview of Population Genetic Data Simulation.
Journal of Computational Biology, 2012

Sequential anomaly detection in a batch with growing number of tests: Application to network intrusion detection.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Semisupervised domain adaptation for mixture model based classifiers.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

2011
Trends in Machine Learning for Signal Processing [In the Spotlight].
IEEE Signal Process. Mag., 2011

A Flow Classifier with Tamper-Resistant Features and an Evaluation of Its Portability to New Domains.
IEEE Journal on Selected Areas in Communications, 2011

Salting Public Traces with Attack Traffic to Test Flow Classifiers.
Proceedings of the 4th Workshop on Cyber Security Experimentation and Test, 2011

2010
Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions.
IEEE Trans. Neural Networks, 2010

Uninterpreted Schema Matching with Embedded Value Mapping under Opaque Column Names and Data Values.
IEEE Trans. Knowl. Data Eng., 2010

Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures.
J. Sel. Topics Signal Processing, 2010

Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases.
Journal of Machine Learning Research, 2010

Improved Fine-Grained Component-Conditional Class Labeling with Active Learning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Feasibility of range estimation using sonar LPI.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009
STAMPS: Software Tool for Automated MRI Post-processing on a supercomputer.
Computer Methods and Programs in Biomedicine, 2009

An algorithm for learning maximum entropy probability models of disease risk that efficiently searches and sparingly encodes multilocus genomic interactions.
Bioinformatics, 2009

A study on the feasibility of low probability of intercept sonar.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

2008
Extensions of transductive learning for distributed ensemble classification and application to biometric authentication.
Neurocomputing, 2008

Decision Aggregation in Distributed Classification by a Transductive Extension of Maximum Entropy/Improved Iterative Scaling.
EURASIP J. Adv. Sig. Proc., 2008

caBIGTM VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data.
BMC Bioinformatics, 2008

A transductive extension of maximum entropy/iterative scaling for decision aggregation in distributed classification.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification.
VLSI Signal Processing, 2007

Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing.
VLSI Signal Processing, 2007

Transductive Methods for the Distributed Ensemble Classification Problem.
Neural Computation, 2007

2006
Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection.
IEEE Trans. Signal Processing, 2006

Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification.
IEEE Journal on Selected Areas in Communications, 2006

Learning the Tree of Phenotypes Using Genomic Data and VISDA.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005
Mixture Modeling with Pairwise, Instance-Level Class Constraints.
Neural Computation, 2005

Semisupervised learning of mixture models with class constraints.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Hierarchical shaped deficit round-robin scheduling.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

2004
Guest Editorial for Special Issue on Machine Learning for Signal Processing.
VLSI Signal Processing, 2004

A Maximum Entropy Approach for Collaborative Filtering.
VLSI Signal Processing, 2004

Joint source-channel decoding of predictively and nonpredictively encoded sources: a two-stage estimation approach.
IEEE Trans. Communications, 2004

Cyber defense technology networking and evaluation.
Commun. ACM, 2004

A deterministic, annealing-based approach for learning and model selection in finite mixture models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
A sequence-based extension of mean-field annealing using the forward/backward algorithm: application to image segmentation.
IEEE Trans. Signal Processing, 2003

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., 2003

A mixture model framework for class discovery and outlier detection in mixed labeled/unlabeled data sets.
Proceedings of the NNSP 2003, 2003

A mixture model and EM algorithm for robust classification, outlier rejection, and class discovery.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Hybrid fractal zerotree wavelet image coding.
Sig. Proc.: Image Comm., 2002

A sequence-based generalization of mean-field annealing using the Forward/Backward algorithm: Application to image segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Mobile multimedia services for third generation communications systems.
Proceedings of the 54th IEEE Vehicular Technology Conference, 2001

Locally optimal joint encoding of image transform coefficients.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle.
IEEE Trans. Neural Netw. Learning Syst., 2000

Joint source-channel decoding for variable-length encoded data by exact and approximate MAP sequence estimation.
IEEE Trans. Communications, 2000

Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification.
Neural Computation, 2000

1999
Critic-driven ensemble classification.
IEEE Trans. Signal Processing, 1999

Improved image decoding over noisy channels using minimum mean-squared estimation and a Markov mesh.
IEEE Trans. Image Processing, 1999

A Deterministic Annealing Approach for Parsimonious Design of Piecewise Regression Models.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Approximate maximum entropy joint feature inference for discrete space classification.
Proceedings of the International Joint Conference Neural Networks, 1999

Time series prediction via neural network inversion.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Joint source-channel decoding for variable-length encoded data by exact and approximate MAP sequence estimation.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Ensemble classification by critic-driven combining.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Improved Joint Source-Channel Decoding for Variable-Length Encoded Data Using Soft Decisions and MMSE Estimation.
Proceedings of the Data Compression Conference, 1999

1998
A sequence-based approximate MMSE decoder for source coding over noisy channels using discrete hidden Markov models.
IEEE Trans. Communications, 1998

Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier.
Neural Computation, 1998

A New Set Partitioning Method for Wavelet-based Image Coding.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
Mixture of experts regression modeling by deterministic annealing.
IEEE Trans. Signal Processing, 1997

Image Decoding Over Noisy Channels Using Minimum Mean-Squared Estimation and a Markov Mesh.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Deterministically annealed mixture of experts models for statistical regression.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
A global optimization technique for statistical classifier design.
IEEE Trans. Signal Processing, 1996

Entropy-constrained tree-structured vector quantizer design.
IEEE Trans. Image Processing, 1996

Hierarchical, Unsupervised Learning with Growing via Phase Transitions.
Neural Computation, 1996

A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

A generalized VQ method for combined compression and estimation.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
An Information-theoretic Learning Algorithm for Neural Network Classification.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Combined source-channel vector quantization using deterministic annealing.
IEEE Trans. Communications, 1994

A non-greedy approach to tree-structured clustering.
Pattern Recognition Letters, 1994

Deterministic annealing for trellis quantizer and HMM design using Baum-Welch re-estimation.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Entropy-Constrained Tree-Structured Vector Quantizer Design by the Minimum Cross Entropy Principle.
Proceedings of the IEEE Data Compression Conference, 1994

1993
An Improved Sequential Search Multistage Vector Quantizer.
Proceedings of the IEEE Data Compression Conference, 1993


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