Nima Reyhani

26 papers A* 2A 1B 6C 1Misc 4Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Incremental IVF Index Maintenance for Streaming Vector Search.
CoRR
Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Umar Farooq Minhas, Jeffrey Pound, Cédric Renggli, Nima Reyhani, Ihab F. Ilyas, Theodoros Rekatsinas, Shivaram Venkataraman
2019 B conf
Stochastic Matching on Uniformly Sparse Graphs.
SAGT
Soheil Behnezhad, Mahsa Derakhshan, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani
2019 A* conf
Stochastic Matching with Few Queries: New Algorithms and Tools.
SODA
Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani
2018 A* conf
Almost Optimal Stochastic Weighted Matching with Few Queries.
EC
Soheil Behnezhad, Nima Reyhani
2018 J jnl
Stochastic Matching with Few Queries: New Algorithms and Tools.
CoRR
Soheil Behnezhad, Alireza Farhadi, MohammadTaghi Hajiaghayi, Nima Reyhani
2017 J jnl
Almost Optimal Stochastic Weighted Matching With Few Queries.
CoRR
Soheil Behnezhad, Nima Reyhani
2013 J jnl
Multiple Spectral Kernel Learning and a Gaussian Complexity Computation.
Neural Comput.
Nima Reyhani
2013 — conf
Supervised covariance selection for linear discriminant analysis.
MLSP
Hideitsu Hino, Nima Reyhani
2012 B conf
An iterative algorithm for singular value decomposition on noisy incomplete matrices.
IJCNN
Kyunghyun Cho, Nima Reyhani
2012 J jnl
Consistency and asymptotic normality of FastICA and bootstrap FastICA.
Signal Process.
Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja
2012 — conf
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study.
LVA/ICA
Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário
2012 J jnl
Multiple Kernel Learning with Gaussianity Measures.
Neural Comput.
Hideitsu Hino, Nima Reyhani, Noboru Murata
2012 J jnl
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices
CoRR
Nima Reyhani, Hideitsu Hino, Ricardo Vigário
2011 A conf
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices.
UAI
Nima Reyhani, Hideitsu Hino, Ricardo Vigário
2011 B conf
Non-Gaussian component analysis using Density Gradient Covariance matrix.
IJCNN
Nima Reyhani, Erkki Oja
2011 Misc conf
Speaker recognition using multiple kernel learning based on conditional entropy minimization.
ICASSP
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
2010 C conf
Multiple Kernel Learning by Conditional Entropy Minimization.
ICMLA
Hideitsu Hino, Nima Reyhani, Noboru Murata
2007 — conf
An empirical dependence mesaures based on residual variance estimation.
ISSPA
Nima Reyhani, Amaury Lendasse
2007 J jnl
Methodology for long-term prediction of time series.
Neurocomputing
Antti Sorjamaa, Jin Hao, Nima Reyhani, Yongnan Ji, Amaury Lendasse
2006 B conf
Determination of the Mahalanobis matrix using nonparametric noise estimations.
ESANN
Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
2006 B conf
EM-algorithm for training of state-space models with application to time series prediction.
ESANN
Elia Liitiäinen, Nima Reyhani, Amaury Lendasse
2005 Misc conf
Direct and Recursive Prediction of Time Series Using Mutual Information Selection.
IWANN
Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
2005 Misc conf
Input and Structure Selection for k-NN Approximator.
IWANN
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
2005 — conf
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.
ICANN (2)
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen
2005 B conf
Mutual information and gamma test for input selection.
ESANN
Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse
2003 Misc conf
A New Approach to Compositional Adaptation Based on Optimizing the Global Distance Function and Its Application in an Intelligent Tutoring System.
IRI
Nima Reyhani, Kambiz Badie, Mahmood Kharrat