Nima Reyhani

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 5

Top Topics

Scatter Matrices

Kernel Learning

Supervised Dimensionality Reduction

Linear Discriminant

Top Venues

Signal Process.

Publications

Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani
Stochastic Matching with Few Queries: New Algorithms and Tools. SODA (2019)
Soheil Behnezhad, Mahsa Derakhshan, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani
Stochastic Matching on Uniformly Sparse Graphs. SAGT (2019)
Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani
Stochastic Matching with Few Queries: New Algorithms and Tools. CoRR (2018)
Soheil Behnezhad, Nima Reyhani
Almost Optimal Stochastic Weighted Matching with Few Queries. EC (2018)
Soheil Behnezhad, Nima Reyhani
Almost Optimal Stochastic Weighted Matching With Few Queries. CoRR (2017)
Nima Reyhani
Multiple Spectral Kernel Learning and a Gaussian Complexity Computation. Neural Comput. 25 (7) (2013)
Hideitsu Hino, Nima Reyhani
Supervised covariance selection for linear discriminant analysis. MLSP (2013)
Nima Reyhani, Hideitsu Hino, Ricardo Vigário
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices CoRR (2012)
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study. LVA/ICA (2012)
Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja
Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Process. 92 (8) (2012)
Hideitsu Hino, Nima Reyhani, Noboru Murata
Multiple Kernel Learning with Gaussianity Measures. Neural Comput. 24 (7) (2012)
KyungHyun Cho, Nima Reyhani
An iterative algorithm for singular value decomposition on noisy incomplete matrices. IJCNN (2012)
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP (2011)
Nima Reyhani, Hideitsu Hino, Ricardo Vigário
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. UAI (2011)
Nima Reyhani, Erkki Oja
Non-Gaussian component analysis using Density Gradient Covariance matrix. IJCNN (2011)
Hideitsu Hino, Nima Reyhani, Noboru Murata
Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA (2010)
Nima Reyhani, Amaury Lendasse
An empirical dependence mesaures based on residual variance estimation. ISSPA (2007)
Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse
Methodology for long-term prediction of time series. Neurocomputing 70 (16-18) (2007)
Elia Liitiäinen, Nima Reyhani, Amaury Lendasse
EM-algorithm for training of state-space models with application to time series prediction. ESANN (2006)
Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN (2006)
Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse
Mutual information and gamma test for input selection. ESANN (2005)
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
Input and Structure Selection for k-NN Approximator. IWANN (2005)
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) (2005)
Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
Direct and Recursive Prediction of Time Series Using Mutual Information Selection. IWANN (2005)
Nima Reyhani, Kambiz Badie, Mahmood Kharrat
A New Approach to Compositional Adaptation Based on Optimizing the Global Distance Function and Its Application in an Intelligent Tutoring System. IRI (2003)