Ira Cohen

发表

Vision-based overhead view person recognition

Thomas S. Huang, Ashutosh Garg, Ira Cohen, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Unlabeled Data Can Degrade Classification Performance of Generative Classifiers

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Ira Cohen, 2002, FLAIRS.

Emotion Recognition Based on Joint Visual and Audio Cues

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Inducing Models of Black-Box Storage Arrays

Terence Kelly, Kimberly Keeton, Ira Cohen, 2004 .

Categories and Subject Descriptors: C.4 [Computer Systems Organization]Performance of Systems

Carey L. Williamson, Anirban Mahanti, Martin F. Arlitt, 2022 .

Skin detection: a Bayesian network approach

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Vayu: Learning to Control the Cloud

Ira Cohen, Ohad Assulin, Eli Mordechai, 2012, MAD.

Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction

Nicu Sebe, Thomas S. Huang, Fabio Gagliardi Cozman, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Authentic facial expression analysis

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

Authentic Facial Expression Analysis

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2004, FGR.

RELEVANCE FEEDBACK IN CONTENT-BASED IMAGE AND VIDEO RETRIEVAL

Ying Wu, Thomas S. Huang, Xiang Sean Zhou, 2003 .

The PARIS Algorithm for Determining Latent Topics

Ron Banner, Michal Aharon, Ira Cohen, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Feature selection using principal feature analysis

Qi Tian, Yijuan Lu, Xiang Sean Zhou, 2007, ACM Multimedia.

Towards authentic emotion recognition

Nicu Sebe, Thomas S. Huang, Michael S. Lew, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Enforcing integrability for surface reconstruction algorithms using belief propagation in graphical models

Brendan J. Frey, Thomas S. Huang, Ralf Koetter, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Short term performance forecasting in enterprise systems

Moisés Goldszmidt, Ira Cohen, Rob Powers, 2005, KDD '05.

One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs

Michal Aharon, Ira Cohen, Eli Mordechai, 2009, ECML/PKDD.

Machine Learning Techniques for Face Analysis

Nicu Sebe, Theo Gevers, Roberto Valenti, 2008, Machine Learning Techniques for Multimedia.

Learning probabilistic classifiers for human–computer interaction applications

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2005, Multimedia Systems.

Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers

George Forman, Ira Cohen, I. Cohen, 2005, ECML.

Learning from Little: Comparison of Classifiers Given Little Training

George Forman, Ira Cohen, I. Cohen, 2004, PKDD.

Learning in content-based image retrieval

Ying Wu, Thomas S. Huang, Xiang Sean Zhou, 2002, Proceedings 2nd International Conference on Development and Learning. ICDL 2002.

Emotion Recognition from Facial Expressions using Multilevel HMM

Thomas S. Huang, Ashutosh Garg, Ira Cohen, 2000 .

Offline/realtime traffic classification using semi-supervised learning

Carey L. Williamson, Anirban Mahanti, Martin F. Arlitt, 2007, Perform. Evaluation.

Creating the Knowledge about IT Events

Carl Staelin, Ira Cohen, Eli Mordechai, 2010, SLAML.

Semisupervised Learning of Classifiers With Application to Human -Computer Interaction

Thomas S. Huang, Ira Cohen, Thomas S. Huang, 2003 .

Evaluation of Expression Recognition Techniques

Nicu Sebe, Thomas S. Huang, Michael S. Lew, 2003, CIVR.

Capturing, indexing, clustering, and retrieving system history

Armando Fox, Terence Kelly, Moisés Goldszmidt, 2005, SOSP '05.

Real-time anomaly detection system for time series at scale

Ira Cohen, Yonatan Ben-Simhon, Inbal Tadeski, 2017, ADF@KDD.

Online Learning of Bayesian Network Parameters

Fabio Gagliardi Cozman, Ira Cohen, Alexandre Bronstein, 2001 .

Semi-Supervised Face Detection

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Semi-Supervised Learning of Mixture Models and Bayesian Networks

Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar Cirelo, 2003 .

Ensembles of models for automated diagnosis of system performance problems

Armando Fox, Moisés Goldszmidt, Ira Cohen, 2005, 2005 International Conference on Dependable Systems and Networks (DSN'05).

Semi-supervised learning for facial expression recognition

Nicu Sebe, Thomas S. Huang, Fabio Gagliardi Cozman, 2003, MIR '03.

Machine Learning in Computer Vision

Nicu Sebe, Thomas S. Huang, Ashutosh Garg, 2006, Computational Imaging and Vision.

Learning Bayesian network classifiers for facial expression recognition both labeled and unlabeled data

Nicu Sebe, Thomas S. Huang, Fabio Gagliardi Cozman, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Skin detection: a Bayesian network approach

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2004, ICPR 2004.

Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control

Jeffrey S. Chase, Terence Kelly, Moisés Goldszmidt, 2004, OSDI.

The effect of unlabeled data on generative classifiers, with application to model selection

Fabio Gagliardi Cozman, Ira Cohen, Alexandre Bronstein, 2002 .

Facial expression recognition from video sequences: temporal and static modeling

Nicu Sebe, Thomas S. Huang, Lawrence S. Chen, 2003, Comput. Vis. Image Underst..

Three Research Challenges at the Intersection of Machine Learning, Statistical Induction, and Systems

Armando Fox, Moisés Goldszmidt, Ira Cohen, 2005, HotOS.

Semi-Supervised Learning of Mixture Models

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Ira Cohen, 2003, ICML.

Machine Learning in Computer Vision (Computational Imaging and Vision)

Nicu Sebe, Thomas S. Huang, Ashutosh Garg, 2005 .

Adaptive Online Learning of Bayesian Network Parameters

Fabio Gagliardi Cozman, Ira Cohen, Alexandre Bronstein, 2001 .

Machine Learning in Multimedia

Thomas S. Huang, Nemanja Petrovic, Ira Cohen, 2005, Multimedia Content and the Semantic Web.

Revisiting probabilistic models for clustering with pair-wise constraints

Blaine Nelson, Ira Cohen, 2007, ICML '07.

Self-aware services: using Bayesian networks for detecting anomalies in Internet-based services

Martin Mueller, Sharad Singhal, Rich Friedrich, 2001, 2001 IEEE/IFIP International Symposium on Integrated Network Management Proceedings. Integrated Network Management VII. Integrated Management Strategies for the New Millennium (Cat. No.01EX470).

Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques

Jeffrey S. Chase, Ira Cohen, 2007 .

Emotion recognition using a Cauchy Naive Bayes classifier

Nicu Sebe, Thomas S. Huang, Michael S. Lew, 2002, Object recognition supported by user interaction for service robots.

Adaptive learning algorithm for SVM applied to feature tracking

Thomas S. Huang, Ashutosh Garg, Ira Cohen, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Facial expression recognition from video sequences

Nicu Sebe, Thomas S. Huang, Michael S. Lew, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

Properties and Benefits of Calibrated Classifiers

Moisés Goldszmidt, Ira Cohen, M. Goldszmidt, 2004, PKDD.

MULTIMODAL EMOTION RECOGNITION

Nicu Sebe, Ira Cohen, Thomas S. Huang, 2005 .

Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers

Fabio Gagliardi Cozman, Ira Cohen, Fabio Gagliardi Cozman, 2006, Semi-Supervised Learning.

S ampling Based EM Algorithm

Ashutosh Garg, Ira Cohen, Thomas S. Huang, 2000 .

Feature Extraction and Selection for Image Retrieval

Qi Tian, Xiang Sean Zhou, Ira Cohen, 2000 .

Semi-supervised Learning of Classifiers : Theory , Algorithms for Bayesian Network Classifiers and Application to Human-Computer Interaction

Nicu Sebe, Fabio Gagliardi Cozman, Ira Cohen, 2003 .