Ali Ghodsi - Publications

Description: University of Waterloo

$Description: C:\public_htmlb\bullet.gif$ Home

$Description: C:\public_htmlb\bullet.gif$ Publication

$Description: C:\public_htmlb\bullet.gif$ Links

$Description: C:\public_htmlb\bullet.gif$ Teaching

$Description: C:\public_htmlb\bullet.gif$ Students

Refereed Publications

· Babak Alipanahi Ramandi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson and Ming Li, Determining Protein Structure by Semidefinite Facial Reduction, to appear in proceedings of The 16th Annual International Conference on Research in Computational Molecular Biology, (RECOMB 2012)

· Babak Alipanahi Ramandi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson and Ming Li, Determining Protein Structures from NOE Distance Constraints by Semidefinite Programming, to appear in The Journal of Computational Biology 2012

· Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel. An Efficient Greedy Method for Unsupervised Feature Selection, In proceedings of the Eleventh IEEE International Conference on Data Mining, 2011 (ICDM 2011).

· Manda Winlaw, Leila Samimi Dehkordy and Ali Ghodsi. Robust Locally Linear Embedding using Penalty Functions, 2011 International Joint Conference on Neural Networks (IJCNN 2011)

· Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi and Fakhri Karray. Parameter Selection for Smoothing Splines using Stein’s Unbiased Risk Estimator (SURE), International Joint Conference on Neural Networks (IJCNN 2011)

· Mehrdad J. Gangeh , Ali Ghodsi, and Mohamed S. Kamel. Dictionary Learning in Texture Classification, International Conference on Image Analysis and Recognition (ICIAR 2011 )

· Ahmed K. Farehat, Ali Ghodsi, and Mohamed S. Kamel. A novel greedy algorithm for Nystrom approximation, Fourteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2011)

· Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, and Mansoor Zolghadri. Supervised Principal Component Analysis: Visualization, Classification and Regression on Subspaces and and Regression on Subspaces and Submanifolds , Journal of Pattern Recognition.

· Babak Alipanahi, Ali Ghodsi. Guided Locally Linear Embedding, Journal of Pattern Recognition Letters, 2011

· Pooyan Khajehpour , and Ali Ghodsi. Learning an Affine Transformation for Non-linear Dimensionality Reduction, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010). (PDF)

· Stefan Pintilie, and Ali Ghodsi. Conformal Mapping by Computationally Efficient Methods, In proceedings of Twenty-Fourth National Conference on Artificial Intelligence (AAAI 2010). (PDF)

· He He, and Ali Ghodsi. Rare Class Classification by Support Vector Machine, In proceedings of The Twentieth International Conference on Pattern Recognition (ICPR 2010). (PDF)

· Michael Biggs, Ali Ghodsi, and Stephen Vavasis. Nonnegative Matrix Factorization via Rank-One Downdate, In proceedings of The 25th International Conference on Machine Learning (ICML 2008). (PDF)

· Babak Alipanahi, Michael Biggs, and Ali Ghodsi. Distance Metric Learning Vs. Fisher Discriminant Analysis, In proceedings of Twenty-Third National Conference on Artificial Intelligence (AAAI 2008). (PDF)

· Michael Biggs, Ali Ghodsi, Dana Wilkinson, and Michael Bowling. Scalable Action Respecting Embedding, In proceedings of The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2008). (PDF)

· Ali Ghodsi, Dana Wilkinson, and Finnegan Southey. Improving Embeddings by Flexible Exploitation of Side Information, In proceedings of The 20th International Joint Conference on Artificial Intelligence (IJCAI 2007). (PDF)

· Michael Bowling, Dana Wilkinson, and Ali Ghodsi. Subjective mapping, In New Scientific and Technical Advances in Research (NECTAR) of the Proceedings of the Twenty-First National Conference on Arti¯cial Intelligence (AAAI 2006). (PDF)

· Mu Zhu and Ali Ghodsi. Automatic Dimensionality Selection from the Scree Plot via the Use of Profile Likelihood, Journal of Computational Statistics and Data Analysis 2005. (PDF)

· Ali Ghodsi, Jiayuan Huang, Finnegan Southey, and Dale Schuurmans. Tangent-Corrected Embedding, In proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR 2005). ( PDF)

· Michael Bowling, Ali Ghodsi, and Dana Wilkinson. Action
Respecting Embedding, In proceedings of The 22nd
International Conference on Machine Learning (ICML 2005). ( PDF)

· Dana Wilkinson, Michael Bowling, and Ali Ghodsi. Learning Subjective Representations, In proceedings of The 19th International Joint Conference on Artificial Intelligence
(IJCAI 2005). ( PDF)

· Michael Bowling, Dana Wilkinson, Ali Ghodsi, and Adam Milstein. Subjective Localization with Action Respecting Embedding, In proceedings of The International Symposium of Robotics Research , 2005. ( PDF)

· Ali Ghodsi, Jiayuan Huang, and Dale Schuurmans. Transformation-Invariant Embedding for Image Analysis, The 8th European Conference on Computer Vision (ECCV 2004) . (PDF )

· Ali Ghodsi, and Dale Schuurmans. `Automatic Basis Selection Techniques for RBF Networks'. Journal of Neural Networks. Volum 16, Issue 5-6, pp. 809-816 . (PDF )

· Ali Ghodsi, and Dale Schuurmans. `Automatic basis selection for RBF networks using Stein's unbiased risk estimator '. International Joint Conference on Neural Networks ,Volume: 1 , July 20 - 24, 2003, Page(s): 91 -95 (IJCNN 2003). (PDF )

· Ali Ghodsi, and Dale Schuurmans. `Automatic complexity control for system identification ', International Fuzzy System Association World Conference (IFSA 2003). (PDF)

· Finnegan Southey, Dale Schuurmans,and Ali Ghodsi. ` Regularized greedy importance sampling ', Advances in Neural Information Processing Systems 2002 (NIPS 2002). ( PDF )

Workshops, arXiv and Extended Abstract

· Michael Biggs, Ali Ghodsi, and Stephen Vavasis. Nonnegative Matrix Factorization via Rank-One Downdate (preliminary journal version), arXiv:0805.0120, 2010

· Pooyan Khajehpour, Babak Alipanahi, and Ali Ghodsi, Visualization in Low Dimensional Space by Tessellation of Linear Subspaces, Workshop of Advances in Neural Information Processing Systems (NIPS 2010).

· Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel. Greedy Nystrom Approximation,
Workshop of Advances in Neural Information Processing Systems (NIPS 2010).

Ali Ghodsi. 'Efficient Parameter Selection for System Identification', North American Fuzzy Information Processing Society(NAFIPS 2004)

· DanaWilkinson, Michael Bowling, and Ali Ghodsi . Learning Subjective Representations Through Dimensionality Reduction , Workshop of Advances in Neural Information Processing Systems (NIPS2006).

· Ali Ghodsi. Efficient Parameter Selection for System Identification,In proceedings of North American Fuzzy Information Processing Society (NAFIPS 2004).

· R. Forth, Ali Ghodsi, An Automated Algorithm for Decline Analysis, Proceedings of the Fifth PIMS IPSW, 2001.

· Chadam, Ali Ghodsi, et al. Problems in Portfolio Analysis, Proceedings of the Fourth GMMC, 2001.

Technical Reports

· Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel. Greedy Nystrom Method, Technical Report TR-2010-11, Department of Electrical and Computer Engineering, University of Waterloo, 2010.

· Ali Ghodsi , Dimensionality Reduction, A Short Tutorial,Technical Report 2006-14, Department of Statistics and Actuarial Science, University of Waterloo, 2006.

· Ali Ghodsi and Dale Schuurmans. Automatic Dimensionality Selection for PCA, MDS, Isomap, Kernel PCA, and LLE, Technical Report, School of CS, School of Computer Science, University of Waterloo, 2004.

· Ali Ghodsi, Jiayuan Huang and Dale Schuurmans, Local Tangent Space Embedding, Technical Report CS-2003-32, School of Computer Science, University of Waterloo, 2003. (PDF)