Nima Reyhani

According to our database, Nima Reyhani authored at least 23 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Incremental IVF Index Maintenance for Streaming Vector Search.

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Umar Farooq Minhas, Jeffrey Pound, Cédric Renggli, Nima Reyhani, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman

CoRR, 2024

2019

Stochastic Matching with Few Queries: New Algorithms and Tools.

Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Stochastic Matching on Uniformly Sparse Graphs.

Soheil Behnezhad, Mahsa Derakhshan, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani

Proceedings of the Algorithmic Game Theory - 12th International Symposium, 2019

2018

Almost Optimal Stochastic Weighted Matching with Few Queries.

Soheil Behnezhad, Nima Reyhani

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

2013

Multiple Spectral Kernel Learning and a Gaussian Complexity Computation.

Nima Reyhani

Neural Comput., 2013

Supervised covariance selection for linear discriminant analysis.

Hideitsu Hino, Nima Reyhani

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012

Consistency and asymptotic normality of FastICA and bootstrap FastICA.

Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja

Signal Process., 2012

Multiple Kernel Learning with Gaussianity Measures.

Hideitsu Hino, Nima Reyhani, Noboru Murata

Neural Comput., 2012

An iterative algorithm for singular value decomposition on noisy incomplete matrices.

KyungHyun Cho, Nima Reyhani

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study.

Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices.

Nima Reyhani, Hideitsu Hino, Ricardo Vigário

Proceedings of the UAI 2011, 2011

Non-Gaussian component analysis using Density Gradient Covariance matrix.

Nima Reyhani, Erkki Oja

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Speaker recognition using multiple kernel learning based on conditional entropy minimization.

Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Multiple Kernel Learning by Conditional Entropy Minimization.

Hideitsu Hino, Nima Reyhani, Noboru Murata

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2007

Methodology for long-term prediction of time series.

Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse

Neurocomputing, 2007

An empirical dependence mesaures based on residual variance estimation.

Nima Reyhani, Amaury Lendasse

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

2006

EM-algorithm for training of state-space models with application to time series prediction.

Elia Liitiäinen, Nima Reyhani, Amaury Lendasse

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Determination of the Mahalanobis matrix using nonparametric noise estimations.

Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Input and Structure Selection for k-NN Approximator.

Antti Sorjamaa, Nima Reyhani, Amaury Lendasse

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Direct and Recursive Prediction of Time Series Using Mutual Information Selection.

Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.

Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Mutual information and gamma test for input selection.

Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2003

A New Approach to Compositional Adaptation Based on Optimizing the Global Distance Function and Its Application in an Intelligent Tutoring System.

Nima Reyhani, Kambiz Badie, Mahmood Kharrat

Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003