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ORCIDNima Reyhani
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2010 – 2019
- 2019
[c18]Soheil Behnezhad, Mahsa Derakhshan, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani:
Stochastic Matching on Uniformly Sparse Graphs. SAGT 2019: 357-373- [c17]Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani:
Stochastic Matching with Few Queries: New Algorithms and Tools. SODA 2019: 2855-2874 - 2018
- [c16]Soheil Behnezhad, Nima Reyhani:
Almost Optimal Stochastic Weighted Matching with Few Queries. EC 2018: 235-249 - [i3]Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani:
Stochastic Matching with Few Queries: New Algorithms and Tools. CoRR abs/1811.03224 (2018) - 2017
- [i2]Soheil Behnezhad, Nima Reyhani:
Almost Optimal Stochastic Weighted Matching With Few Queries. CoRR abs/1710.10592 (2017) - 2013
- [j4]Nima Reyhani:
Multiple Spectral Kernel Learning and a Gaussian Complexity Computation. Neural Comput. 25(7): 1926-1951 (2013) - [c15]Hideitsu Hino, Nima Reyhani:
Supervised covariance selection for linear discriminant analysis. MLSP 2013: 1-6 - 2012
- [j3]Hideitsu Hino, Nima Reyhani, Noboru Murata:
Multiple Kernel Learning with Gaussianity Measures. Neural Comput. 24(7): 1853-1881 (2012) - [j2]Nima Reyhani, Jarkko Ylipaavalniemi
, Ricardo Vigário, Erkki Oja:
Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Process. 92(8): 1767-1778 (2012) - [c14]Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário:
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study. LVA/ICA 2012: 123-130 - [c13]KyungHyun Cho, Nima Reyhani:
An iterative algorithm for singular value decomposition on noisy incomplete matrices. IJCNN 2012: 1-6 - [i1]Nima Reyhani, Hideitsu Hino, Ricardo Vigário:
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. CoRR abs/1202.3761 (2012) - 2011
- [c12]Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi:
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP 2011: 2204-2207 - [c11]Nima Reyhani, Erkki Oja:
Non-Gaussian component analysis using Density Gradient Covariance matrix. IJCNN 2011: 966-972 - [c10]Nima Reyhani, Hideitsu Hino, Ricardo Vigário:
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. UAI 2011: 627-634 - 2010
- [c9]Hideitsu Hino, Nima Reyhani, Noboru Murata:
Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA 2010: 223-228
2000 – 2009
- 2007
- [j1]Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse:
Methodology for long-term prediction of time series. Neurocomputing 70(16-18): 2861-2869 (2007) - [c8]Nima Reyhani, Amaury Lendasse:
An empirical dependence mesaures based on residual variance estimation. ISSPA 2007: 1-4 - 2006
- [c7]Elia Liitiäinen, Nima Reyhani, Amaury Lendasse:
EM-algorithm for training of state-space models with application to time series prediction. ESANN 2006: 137-142 - [c6]Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen:
Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232 - 2005
- [c5]Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse:
Mutual information and gamma test for input selection. ESANN 2005: 503-508 - [c4]Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen:
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. ICANN (2) 2005: 625-630 - [c3]Antti Sorjamaa, Nima Reyhani, Amaury Lendasse:
Input and Structure Selection for k-NN Approximator. IWANN 2005: 985-992 - [c2]Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse:
Direct and Recursive Prediction of Time Series Using Mutual Information Selection. IWANN 2005: 1010-1017 - 2003
- [c1]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: 285-290
Coauthor Index
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