Patents and Publications

Patents Filed/Approved

 

·           Ira Cohen, Moises Goldszmidt, Steve Zhang, Julie Symons, Terence Kelly, “A Method For Identifying Recurrent Performance Faults And For Prioritizing Diagnosis And Repair “. Patent approval pending.

·             Ira Cohen, Moises Goldszmidt, “Determining and Annotating a Signature of a Computer Resource”, US Patent 7184935

·           Ira Cohen, Sujoy Basu, “Method for  ordering  jobs  based on  predicting the relation of 2 jobs”

·           Ira Cohen, Eric Anderson, Dirk Beyer and Terence Kelly, “Classifying jobs as unpredictable”.

·           Terence Kelly, Ira Cohen, Moises Goldszmidt, “Per-Request Response Time Forecaster for Enterprize Storage Arrays”

·           Ira Cohen, Moises Goldszmidt, Terence Kelly, Julie Symons, “Automated diagnosis and forecasting of service level objective states”, Patent approval pending, Hewlett-Packard Company.

·           Ira Cohen, Moises Goldszmidt, "Calibrated Classifiers with Threshold Comparisons", Patent approval pending, Hewlett-Packard Company.

·           Ira Cohen, Alexandre Bronstein, Marsha Duro, “Adapting Bayesian Network Parameters Online in a Dynamic Environment”, Patent approval pending. Hewlett-Packard Company.

·            Ira Cohen, Alexandre Bronstein, Fabio G. Cozman, Marsha Duro “Learning Bayesian Network Classifiers Using Labeled And Unlabeled Data”, Patent approval pending, Hewlett-Packard Company.

Book Chapters

• Book: Ira Cohen, Ashutosh Garg, Nicu Sebe, Thomas S. Huang, “Machine learning in computer vision”, Springer academic, ISBN 1-4020-3274-9, May 2005.

• Ira Cohen, Fabio G. Cozman, “Risks of Semi-Supervised Learning”, in Semi-Supervised Learning, editors: Olivier Chapelle, Bernhard Schölkopf and Alexander Zien, to be published 2005, MIT press.

• Nemanja Petrovic, Ira Cohen, Thomas S. Huang, “Machine Learning in Multimedia”, to be published in: “Multimedia Content and Semantic Web: Methods, Standards and Tools”, Wiley Publications, 2005.

•  Thomas S. Huang, Ira Cohen, Nicu Sebe, “Audio/Visual Human Emotion Recognition”, Handbook of Pattern Recognition and Computer Vision, 3rd edition, 2005.

•  Ira Cohen, Thomas S. Huang, “Affective Computing”, Encyclopedia of Human-Computer Interaction, Berkshire Publishing Group, April, 2004

Journal Papers:

•  Nicu Sebe, Ira Cohen, Fabio G. Cozman, Thomas S. Huang, “Learning probabilistic classifiers for human-computer interaction analysis”, ACM Multimedia Systems Journal, 2005.

• Ira Cohen, Fabio G. Cozman, Nicu Sebe, Marcelo C. Cirelo, Thomas S. Huang, Semi-supervised Learning of Classifiers: Theory, Algorithms for Bayesian Network Classifiers and Application to Human-Computer Interaction,  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Dec 2004. PDF

• Ira Cohen, Nicu Sebe, Larry Chen, Ashutosh Garg, Thomas S. Huang, “Facial Expression Recognition from Video Sequences: Temporal and Static Modeling”, Computer Vision and Image Understanding ,Volume 91, Issues 1-2 , July-August 2003, Pages 160-187, Special Issue on Face Recognition.

• Ira Cohen, Rotem Golan, Stanley Rotman, “Applying Branching Processes Theory for Building a Statistical Model for SEM Signal", Optical Engineering, Jan. 2000, SPIE.

Conference Papers:

• Blaine Nelson, Ira Cohen, “Revisiting probabilistic clustering with pair-wise constraints”, International Conference on Machine Learning (ICML) 2007. PDF

• Jeffrey Erman, Anirban Mahanti, Martin Arlitt, Ira Cohen, and Carey Williamson, "Semi Supervised Network Traffic Classification", Proc. of ACM SIGMETRICS 2007, (accepted as an extended abstract) PDF

• Ira Cohen, Steve Zhang, Moises Goldszmidt, Julie Symons, Terence Kelly, Armando Fox, “Capturing, indexing, clustering and retrieving system history”, 20’th ACM Symposium on Operating Systems Principles (SOSP 2005). PDF

• George Forman, Ira Cohen, “Beware the Null hypothesis”, ECML/PKDD 2005.PDF(Longer Tech report version).

• Rob Powers, Ira Cohen, and Moises Goldszmidt, "Short term performance forecasting in enterprise systems", ACM Knowledge Discovery and Data mining (KDD) 2005. PDF(Longer Tech report version)

• Steve Zhang, Ira Cohen, Moises Goldszmidt, Julie Symons, Armando Fox, “Ensemble of models for automated diagnosis of system performance problems”, IEEE conference on Dependable Systems and Networks (DSN), 2005.PDF

• Ira Cohen, Moises Goldszmidt, Terence Kelly, Symons Julie, Chase Jeff, "Correlating instrumentation data to system states: A building block for automated diagnosis and control", Operating System Design and Implementation (OSDI), Dec 2004. PDF

• Ira Cohen and Moises Goldszmidt, ”Properties and Benefits of Calibrated Classifiers”, EMCL/PKDD, Pisa Italy, 2004. (HP TR version)

• Forman George, Ira Cohen, , ”Learning From Little: Comparison of Classifiers given Little Training”, ECML/PKDD, Pisa Italy, 2004. (HP TR version)

• Nicu Sebe, Ira Cohen, T. Gevers, Thomas S. Huang, “Skin detection: A Bayesian network approach”, International conference on pattern recognition (ICPR ’04), Cambridge, UK, August 2004.

•  Nicu Sebe, Michael S. Lew, Ira Cohen, Y. Sun, T. Gevers, Thomas S. Huang, “Authentic facial expression analysis”, International Conference on Automatic Face and Gesture Recognition (FG'04), pp. 517-522, Seoul, Korea, May 2004.

• Ira Cohen, Nicu Sebe, Fabio G. Cozman, Marcelo C. Cirelo, Thomas S. Huang, ”Learning Bayesian Network Classifiers for Facial Expression Recognition with both Labeled and Unlabeled data”, IEEE conference on Computer Vision and Pattern Recognition (CVPR) 2003.

• Fabio G. Cozman, Ira Cohen and Marcelo C. Cirelo, “Semi-Supervised Learning of Mixture Models and Bayesian Networks”, International conference of Machine Learning (ICML) 2003.

• Ira Cohen, Nicu Sebe, Ashutosh Garg, Thomas S. Huang, “Facial Expression Recognition from Video Sequences”, International conference on Multimedia and Expo (ICME), Vol II, pp. 121-124, 2002.

• Ira Cohen, Nicu Sebe, Ashutosh Garg, Thomas S. Huang, “Emotion Recognition using a Cauchy Naive Bayes Classifier” International conference on Pattern Recognition (ICPR) 2002.

• Fabio G. Cozman, Ira Cohen, “Unlabeled data can degrade classification performance of generative classifiers”, Fifteenth International Florida Artificial Intelligence Society Conference, pp. 327-331, Pensacola, Florida, 2002.

• Thomas S. Huang, Xiang Sean Zhou, Munehiro Nakazato, Ira Cohen, and Ying Wu, Learning in Content-based Image Retrieval, Invited paper, 2nd International Conference on Development and Learning (ICDL02), MIT, June 2002.

• Nemanja Petrovic, Ira Cohen, Brendan Frey, Ralf Koetter, Thomas S. Huang, Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models ”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2001.PDF

• Alexandre Bronstein, Ira Cohen, Joydip Das, Sharad Singhal, Rich Friedrich, Martin Mueller, “Self Aware Services: Applying Bayesian networks and simple statistics for Internet QoS & Application to Email virus detection”, International conference on Internet Management and software, 2000.

• Thomas S. Huang, Ira Cohen, Pengyu Hong, Yang Li, “IA3: Intelligent Affective Animated Agent”, Plenary talk at International Conference on Image and Graphics, Aug 2000, Tianjin, China. DOC

• Ira Cohen, Ashutosh Garg, T.S. Huang, "Over head view person recognition," Proc. of International Conf. on Pattern Recognition(ICPR), Barcelona, 2000.DOC

• Ashutosh Garg, Ira Cohen, T. S. Huang, "Adaptive Learning Algorithm for SVM applied to Feature Tracking", Proc of IEEE International Conference on Intelligent and Information systems 1999.PDF

Workshop Papers:

• Clayton S. Oliveira, Fabio G. Cozman, Ira Cohen, “Splitting the unsupervised and supervised components of semi-supervised learning”, International conference on machine learning (ICML) workshop on learning with partially classified training data, 2005.

• Moises Goldszmidt, Ira Cohen, Armando Fox and Steve Zhang, "Three research challenges at the intersection of machine learning, statistical induction, and systems", Tenth workshop on hot topics in operating systems (HOTOS 2005).

• Ira Cohen, Nicu Sebe, Fabio G. Cozman, Thomas S. Huang, “Semi-Supervised Learning for Facial Expression Recognition”, 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003.

• Ira Cohen, Ashutosh Garg, Thomas S. Huang, "Emotion Recognition using Multilevel-HMM," NIPS Workshop on Affective Computing, Colorado, Dec 2000.PDF

• Ashutosh Garg, Ira Cohen, Thomas S. Huang, "Sampling Based EM Algorithm," NIPS Workshop on Cross-Validation, Bootstrap and Model Selection, Colorado, Dec 2000.

 

Technical Reports:

• Ira Cohen, Fabio G. Cozman, Alex Bronstein, The effect of unlabeled data on generative classifiers, with application to model selection, HP-Labs Tech Report, HPL-2002-140, 2002.

• Ira Cohen, Alex Bronstein, Fabio G. Cozman, “Adaptive Learning of Bayesian Network Parameters”, HP-Labs Tech Report, HPL-2001-156, 2001.

• Ira Cohen, Alex Bronstein, “Online Learning of Bayesian Networks”, HP-Labs Tech report, HPL-2001-55TR1, 2001.

• Alex Bronstein, Ira Cohen, Joydip Das, Marsha Duro, Richard Friedrich, Gary Kleyner, Martin Mueller, Sharad Singhal "Self-Aware Services: Using Bayesian Networks for Detecting Anomalies in Internet-based Services", HP-Labs Tech report, HPL-2001-23R1, 2001.

 

PhD Thesis:

 

 Ira Cohen, "Semi-Supervised Learning of Classifiers with Application to Human-Computer Interaction", PhD Thesis, July 2003, University of Illinois at Urbana Champaign.

 

MS Thesis:

 

Ira Cohen, "Automatic facial expression recognition from video sequences using temporal information", Masters Thesis, May 2000, University of Illinois at Urbana Champaign.