
Peyman Adibi


Educational History


Research Interests · Machine Learning and Pattern Recognition · Computer Vision and Image Processing · Computational Intelligence and Soft Computing 

Teaching Under Graduate · Design and Analysis of Algorithms (Spring 2010 – Spring 2023) · Signals and Systems (Fall 2010Fall 2022) · Applied Linear Algebra (Spring 2023) · Foundations of Machine Learning (Spring 2011) · Data Structures (Fall 2010) · Computer Fundamentals (Fall 2010) · Artificial Intelligence (Fall 2005, Spring 2006) · Computer Graphics (Fall 2003, Fall 2005, Spring 2006) Graduate · Statistical Pattern Recognition (Spring 2011Fall 2022) · Evolutionary Computation (Fall 2011, Fall 2012) · Machine Learning (Spring 2012 Spring 2023) · Advanced Topics in Learning Theory (Spring 2012Fall 2019) · Statistical Learning Theory (Spring 2019 Spring 2023) · Advanced Topics in Pattern Recognition (Spring 2015Fall 2022) 

Publications
· H. Tabealhojeh,
P. Adibi, H. Karshenas,
S. K. Roy, and M. Harandi, “RMAML: Riemannian
Metalearning with Orthogonality Constraints,” Pattern
Recognition,
doi:10.1016/j.patcog.2023.109563, 2023. · F. Fathinezhad,
P. Adibi, B. Shoushtarian,
H. Baradaran Kashani, and
J. Chanussot, "Soft Dimensionality Reduction
for Reinforcement Data Clustering," World Wide Web, Accepted for Publication,
2023. · M. Behmanesh,
P. Adibi, S.M.S. Ehsani,
and J. Chanussot, “Geometric Multimodal Deep
Learning with MultiScaled Graph Wavelet Convolutional Network,” IEEE
Transactions on Neural Networks and Learning Systems,
doi:10.1109/TNNLS.2022.3213589, 2022. · N. Farajian
and P. Adibi, “Minority manifold regularization by
stacked autoencoder for imbalanced learning,” Expert Systems with
Applications, vol. 169, 2021. · A. K. Ali, P. Adibi, and S. M. S. Ehsani,
"Depth Map Reconstruction and Enhancement With Local and Patch Manifold
Regularized Deep Depth Priors," IEEE Access, vol. 9, pp. 136111136125,
2021. · A. Pournemat,
P. Adibi, and J. Chanussot,
“Semisupervised Charting for Spectral Multimodal
Manifold Learning and Alignment,” Pattern Recognition, vol. 111, 2021. · M. Behmanesh,
P. Adibi, J. Chanussot,
C. Jutten, and S.M.S. Ehsani,
“Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization,” IEEE Transactions on Signal
Processing, vol. 69, pp.
12711286, 2021. · E. Hatefi,
H. Karshenas, and P. Adibi,
“Conditional Probability Distribution Divergence Reduction in Visual Domain
Adaptation,” The CSI Journal on Computer Science and Engineering, vol. 17, no. 2, 2020. · N. Farajian
and P. Adibi, “DMRAE: discriminative manifold
regularized autoencoder for sparse and robust feature learning,” Progress
in Artificial Intelligence, vol. 9, no. 3, pp. 263274, 2020. · S. Ahmadkhani
and P. Adibi, “2D Dimensionality Reduction Methods
without Loss,” Journal of AI and Data Mining, vol. 7, no. 1, pp. 201210, 2019. · Z. Goudarzi,
P. Adibi, R.R. Grigat and
S.M.S. Ehsani, “Making metric learning algorithms
invariant to transformations using a projection metric on Grassmann
manifolds,” International Journal of Machine Learning and Cybernetics, vol. 10, no. 12, pp. 34073416,
2019. · N. Farajian
and P. Adibi, “Sparse, Robust and Discriminative
Representation by Supervised Regularized AutoEncoder,” International
Journal of Information and Communication Technology Research, vol. 11, no. 2, pp. 2937,
2019. · Z. Hanifelu,
P. Adibi, S. A. Monadjemi,
and H. Karshenas, "KNNbased multilabel twin
support vector machine with priority of labels," Neurocomputing, vol. 322, pp. 177186, 2018. · N. Noormohamadi,
P. Adibi, S.M.S. Ehsani,
"Semantic image segmentation using an improved hierarchical graphical
model," IET Image Processing, vol. 12, no. 11, pp. 19431950, 2018. · S. Amraee,
A. Vafaei, K. Jamshidi,
and P. Adibi, "Abnormal event detection in
crowded scenes using oneclass SVM," Signal, Image and Video
Processing, vol. 12, no. 6,
pp. 11151123, 2018. · M. S. Mahdavinejad,
M. Rezvan, M. Barekatain,
P. Adibi, P. Barnaghi,
and A. P. Sheth, "Machine learning for
Internet of Things data analysis: A survey," Digital
Communications and Networks, vol. 4, no. 3, pp. 161175, 2018. · S. Amraee,
A. Vafaei, K. Jamshidi,
and P. Adibi, "Anomaly detection and
localization in crowded scenes using connected component analysis," Multimedia
Tools and Applications, vol. 77, no.
12, pp. 1476714782, 2018. · A. Sokhandan,
P. Adibi, and M. Sajadi,
“Multitask fuzzy Bregman coclustering approach for
clustering data with multisource features,” Neurocomputing, vol. 247, pp. 102114, 2017. · S. Ahmadkhani
and P. Adibi, “Face Recognition using Supervised
Probabilistic Principal Component Analysis Mixture Model in Dimensionality
Reduction without Loss Framework,” IET Computer Vision, vol. 10, no. 3, pp. 193201,
2016. · S. Ahmadkhani
and P. Adibi, “Supervised Probabilistic Principal
Component Analysis Mixture Model in a Lossless Dimensionality Reduction
Framework for Face Recognition,” Signal and Data Processing, vol. 12, no. 4, pp. 5365 (In
Persian). · A. Nazarpour
and P. Adibi, “Twostage multiple kernel learning
for supervised dimensionality reduction,” Pattern Recognition, vol. 48, no. 5, pp.
1854–1862, 2015. · P. Adibi,
“A growing hierarchical approach to batch linear manifold topographic map
formation,” Journal of Computing and Security, vol. 1, no. 1, pp. 4759,
2014. · P. Adibi
and R. Safabakhsh, “Linear manifold topographic map
formation based on an energy function with online adaptation rules,” Neurocomputing, vol. 72, no. 79, pp. 13772064, 2009. · P. Adibi
and R. Safabakhsh, “Information maximization in a
linear manifold topographic map,” Neural Processing Letters, vol. 22, no. 3, pp. 155178,
2009. · P. Adibi,
M.R. Meybodi, and R. Safabakhsh,
"Unsupervised Learning of Synaptic Delays based on Learning Automata in
an RBFLike Network of Spiking Neurons for Data Clustering," Neurocomputing, vol. 64, pp. 335357, 2005. · R. Safabakhsh and P. Adibi, “Nastaaligh
Handwritten Word Recognition Using A ContinuousDensity VariableDuration
HMM”, Arabian Journal for Science and Engineering, vol. 30. no. 1B, pp. 95118,
2005. · R. Safabakhsh and P. Adibi, “Farsi Nastaaligh
Handwritten Word Recognition Using An Upper Contour based Segmentation and
Hidden Markov Model”, Amirkabir
Journal of Science and Technology, vol. 55, pp. 653677, 2003 (In Persian).
· E. Hatefi,
H. Karshenas, and P. Adibi,
“Subspace Learning Augmented with Class Conditional Probability Estimation
Based on SVM Classifier in Domain Adaptation,” in Proceedings of 25th
International CSI Computer Conference, CSICC2020, Iran University of Science and Technology (IUST),
Tehran, Iran, January 2020. · M. Behmanesh
and P. Adibi, “Geometric Learning of Multimodal
Data for Semisupervised Domain Adaptation for
Simultaneous Diagonalization of Laplacianes,”
in Proceedings of 24th National CSI Computer Conference, CSICC2019, Sharif University
of Technology, Tehran, Iran, February 2019 (in Persian). · M. Kiani
and P. Adibi, “Online Multiple Object Tracking
Using Extended Appearance Model Based on LBP Features and Tracklet
Confidences,” in Proceedings of 3rd International Conference on Pattern Recognition and Image
Analysis, IPRIA2019, Shahrekord University, Shahrekord,
Iran, April 2017 (in Persian). · N. Noormohammadi,
P. Adibi, and S. M. S. Ehsani,
“Semantic image segmentation using an improved hierarchical graphical model,”
in Proceedings of 21st Annual CSI Computer Conference, CSICC2016, School of
Computer Science, IPM, Tehran, Iran, March 2016 (in Persian). · N. BakhshandehBavarsad
and P. Adibi, “Combining large margin nearest
neighbor classifiers within the framework of Dempster–Shafer
theory,” in Proceedings of 21st Annual CSI Computer Conference, CSICC2016,
School of Computer Science, IPM, Tehran, Iran, March 2016 (in Persian). · S. Esteki
and P. Adibi, “Estimating the number of clusters
using Dirichlet process mixture model by
considering a distribution for the concentration parameter,” in Proceedings
of 21st Annual CSI Computer Conference, CSICC2016, School of Computer
Science, IPM, Tehran, Iran, March 2016 (in Persian). · M. Jafaei
and P. Adibi, “Tuning the AdaBoost
classifiers weights based on temporary changes in the location of difficult
samples,” in Proceedings of 20th Annual CSI Computer Conference, CSICC2015, Ferdowsi University of Mashhad, Mashhad, Iran, March 2015
(in Persian). · E. Shabaninia
and P. Adibi, “Using extended histograms for
multiview human recognition,” in Proceedings of 20th Annual CSI Computer
Conference, CSICC2015, Ferdowsi University of
Mashhad, Mashhad, Iran, March 2015 (in Persian). · P. Ostovari
and P. Adibi, “Comparison of data clustering with Bregman divergence and total Bregman
divergence,” in Proceedings of 20th Annual CSI Computer Conference,
CSICC2015, Ferdowsi University of Mashhad,
Mashhad, Iran, March 2015 (in Persian). · N. Imanpour,
P. Adibi, and M. T. ManzuriShalmani,
“Pose variant face recognition with a single training sample using curvelet features and tied factor analysis,” in
Proceedings of 20th Annual CSI Computer Conference, CSICC2015, Ferdowsi University of Mashhad, Mashhad, Iran, March 2015
(in Persian). · M. H. Edrisi,
H. MahvashMohammadi, and P. Adibi,
“Automatic facial age estimation based on learning from label distributions
using neural networks,” in Proceedings of 20th Annual CSI Computer
Conference, CSICC2015, Ferdowsi University of
Mashhad, Mashhad, Iran, March 2015 (in Persian). · Z. Assarzadeh
and P. Adibi, “A weighted naïve Bayes classifier
based on harmony search algorithm,” in Proceedings of 22nd Iranian Conference
on Electrical Engineering, ICEE2014, Shahid Beheshti University, Tehran, Iran, May 2014 (in Persian). · Z. Assarzadeh
and P. Adibi, “A new feature selection technic
based on binary harmony search algorithm for naïve Bayes classifier,” in
Proceedings of 19th Annual CSI Computer Conference, CSICC2014, Shahid Beheshti University,
Tehran, Iran, March 2014 (in Persian). · Nazarpour and P. Adibi,
“Handwritten digit recognition using multiple kernel learning closedform
dimensionality reduction method,” in Proceedings of 19th Annual CSI Computer
Conference, CSICC2014, Shahid Beheshti
University, Tehran, Iran, March 2014 (in Persian). · Nazarpour and P. Adibi,
“Study of the type and parameters of kernel function in kernel discriminant
analysis method,” in Proceedings of 19th Annual CSI Computer Conference,
CSICC2014, Shahid Beheshti
University, Tehran, Iran, March 2014 (in Persian). · P. Adibi,
“Local dimensionality reduction using linear manifold topographic map with
growing hierarchical structure,” in Proceedings of 21st Iranian Conference on
Electrical Engineering, ICEE2013, Ferdowsi
University of Mashhad, Mashhad, Iran, May 2013 (in Persian). · M. S. Panahandeh,
P. Adibi, and F. Shafizadegan,
“Hand detection using multiplicative kernels based detectors,” in Proceedings
of 21st Iranian Conference on Electrical Engineering, ICEE2013, Ferdowsi University of Mashhad, Mashhad, Iran, May 2013
(in Persian). · Nazarpour, P. Adibi,
and H. Ebrahimpour, “Kernel discriminant analysis
with optimal parameters for recognition of Iranian Banknotes,” in Proceedings
of 21st Iranian Conference on Electrical Engineering, ICEE2013, Ferdowsi University of Mashhad, Mashhad, Iran, May 2013
(in Persian). · M. S. Panahandeh,
P. Adibi, and F. Shafizadegan,
“Training a family of SVM based detectors with combined kernels for detection
and pose estimation of hand in the sign language images,” in Proceedings of
5th International Conference on Information and Knowledge Technology,
IKT2013, University of Shiraz, Shiraz, Iran, May 2013 (in Persian). · F. Shafizadegan,
P. Adibi, and, M. S. Panahandeh
“Pose invariant face detection in images using combined kernels based
models,” in Proceedings of 11th Iranian Conference on Intelligent Systems,
ICIS2013, Kharazmi University, Tehran, February
2013 (in Persian). · Z. Assarzadeh
and P. Adibi, “Improved discrete binary harmony
search algorithm for fuzzy classifier design,” in Proceedings of 11th Iranian
Conference on Intelligent Systems, ICIS2013, Kharazmi
University, Tehran, February 2013. · S. M. Pesteie,
P. Adibi, and S. A. Monadjemi,
“Bayesian Texture Classification Using Features Extracted from Hadamard Transform and Gabor Filters,” in
Proceedings of 17th Annual CSI Computer Conference, CSICC2012, Sharif University
of Technology, Tehran, Iran, March 2012 (in Persian). · P. Adibi
and R. Safabakhsh, “Batch Regional Linear Manifold
Topographic Map with Adaptable Extents for Handwritten Digit Recognition,” in
Proceedings of 19th Iranian Conference on Electrical Engineering, ICEE2011, Amirkabir University of Technology, Tehran, Iran, May
2011 (in Persian). · P. Adibi
and R. Safabakhsh, “Batch linear manifold
topographic map with regional dimensionality estimation,” International
Joint Conference on Neural Networks, IJCNN2009,
Atlanta, Georgia, pp. 6370, 2009. · P. Adibi
and R. Safabakhsh, “Batch linear manifold
topographic map with explicit data visualization capability,” in
Proceedings of 14th Annual CSI Computer Conference, CSICC2009, Amirkabir University of Technology, Tehran, Iran, October
2009 (in Persian). · P. Adibi
and R. Safabakhsh, “Joint entropy maximization in
the kernelbased linear manifold topographic map,” in
Proceedings of the International Joint Conference on Neural Networks, IJCNN2007, Orlando, Florida,
pp. 11331138, 2007. · P. Adibi
and R. Safabakhsh, “Learning subspaces based on
joint entropy maximization in an adaptive selforganizing map,” in
Proceedings of 14th Iranian Conference on Electrical Engineering, ICEE2006, Amirkabir University of Technology, Tehran, Iran, May
2006 (in Persian). · P. Adibi
and R. Safabakhsh, “Analysis of the cluster shape
defined by a leaky integrate and fire spiking neuron in low dimensional input
spaces,” in Proceedings of 11th Annual CSI Computer Conference, CSICC2006, School of
Computer Science, IPM, Tehran, Iran, January 2006 (in Persian). · S. Khorsandi and P. Adibi, “Improved Efficient Loss Rate Estimation under
HeavyTail Traffic Based on a Global Burst Multiplier Factor,” in
Proceedings of 2004 International Symposium on Performance Evaluation of
Computer and Telecommunication Systems, SPECTS2004, San Jose, California, 2004. · S. M. TashakoriHashemi,
P. Adibi, A. Jahanian,
and A. Nourollah, “Solving dynamic Steiner tree
problem using ant colony system,” in Proceedings of 9th Annual
CSI Computer Conference, CSICC2004,
Sharif University of Technology, Tehran, Iran, February 2004 (in Persian). · P. Adibi,
M.R. Meybodi, and R. Safabakhsh,
"Unsupervised Learning of Synaptic Delays based on Learning Automata in
an RBFLike Network of Spiking Neurons," in Proceedings of 9th
Annual CSI Computer Conference, CSICC2004, Sharif University of Technology, Tehran, Iran, February
2004 (in Persian). · R. Safabakhsh
and P. Adibi, "Two enhanced method for
segmentation of Farsi Nastaaligh handwritten word
segmentation," in Proceedings of 10th Iranian Conference on Electrical
Engineering, ICEE2002, Amirkabir University of Tabriz, Tabriz, Iran, May 2002
(in Persian). · R. Safabakhsh
and P. Adibi, "Offline handwritten Farsi Nastaaligh word recognition using a continuousdensity
variableduration hidden Markov model," in Proceedings of 7th
Annual CSI Computer Conference, CSICC2002, Iran Telecommunication Research Center, Tehran, Iran,
March 2002 (in Persian). 