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Degree-one Models and Cross Product Matrices

Proceedings of the 2018 1st International Conference on Mathematics and Statistics, 2018, p.50-54

2018

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Oblivious dimension reduction for k-means: beyond subspaces and the Johnson-Lindenstrauss lemma

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019, p.1039-1050

2019

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A scalable two-stage approach for a class of dimensionality reduction techniques

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010, p.313-322

2010

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Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks

Proceedings of the ACM on measurement and analysis of computing systems, 2022-06, Vol.6 (2), p.1-53, Article 32

2022

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Turning big data into tiny data: constant-size coresets for k-means, PCA and projective clustering

Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete algorithms, 2013, p.1434-1453

2013

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Förster Blockade and Excitation Transfer Behaviors of Two-Photon Rabi Oscillations of Exciton–Biexciton Levels in Coupled Quantum Dots

Journal of nanomaterials, 2023-02, Vol.2023, p.1-8

2023

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Latent semantic sparse hashing for cross-modal similarity search

Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014, p.415-424

2014

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Building statistical models and scoring with UDFs

International Conference on Management of Data: Proceedings of the 2007 ACM SIGMOD international conference on Management of data; 11-14 June 2007, 2007, p.1005-1016

Ordonez, Carlos

2007

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Research on Image Feature Extraction Algorithm of the Egg and Egg White Protein Thermal Gelation Based on PCA/ICA

Computational intelligence and neuroscience, 2022, Vol.2022, p.1266332-11

2022

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A least squares formulation for a class of generalized eigenvalue problems in machine learning

Proceedings of the 26th Annual International Conference on Machine Learning, 2009, p.977-984

2009

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Clustering and projected clustering with adaptive neighbors

Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014, p.977-986

2014

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A New Feature Extraction Algorithm Based on Orthogonal Regularized Kernel CCA and Its Application

Journal of Electrical and Computer Engineering, 2018-01, Vol.2018, p.1-5

2018

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Robust testing of low dimensional functions

Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021, p.584-597

2021

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A Fast CS-Based Reconstruction Model with Total Variation Constraint for MRI Enhancement in K-Space Domain

Computational intelligence and neuroscience, 2022-07, Vol.2022, p.1-11

2022

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Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.175-186

2017

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IEEE_Xplore

Differential privacy and robust statistics

Proceedings of the forty-first annual ACM symposium on Theory of computing, 2009, p.371-380

2009

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Hypergraph spectral learning for multi-label classification

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008, p.668-676

2008

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Real-time collision culling of a million bodies on graphics processing units

ACM SIGGRAPH Asia 2010 papers, 2010-12, p.1-8

2010

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A least squares formulation for canonical correlation analysis

Proceedings of the 25th international conference on Machine learning, 2008, p.1024-1031

2008

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Kalman Temporal Differences

The Journal of artificial intelligence research, 2010-01, Vol.39, p.483-532

2010

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Program generation for small-scale linear algebra applications

Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018, p.327-339

2018

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Full regularization path for sparse principal component analysis

ACM International Conference Proceeding Series; Vol. 227: Proceedings of the 24th international conference on Machine learning; 20-24 June 2007, 2007, p.177-184

2007

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Driving Fatigue Detection from EEG Using a Modified PCANet Method

Computational intelligence and neuroscience, 2019, Vol.2019, p.4721863-9

2019

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Efficiently learning mixtures of two Gaussians

Proceedings of the forty-second ACM symposium on Theory of computing, 2010, p.553-562

2010

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Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA

Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018, p.97-106

2018

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Degree-one Models and Cross Product Matrices

Oblivious dimension reduction for k-means: beyond subspaces and the Johnson-Lindenstrauss lemma

A scalable two-stage approach for a class of dimensionality reduction techniques

Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks

Turning big data into tiny data: constant-size coresets for k-means, PCA and projective clustering

Förster Blockade and Excitation Transfer Behaviors of Two-Photon Rabi Oscillations of Exciton–Biexciton Levels in Coupled Quantum Dots

Latent semantic sparse hashing for cross-modal similarity search

Building statistical models and scoring with UDFs

Research on Image Feature Extraction Algorithm of the Egg and Egg White Protein Thermal Gelation Based on PCA/ICA

A least squares formulation for a class of generalized eigenvalue problems in machine learning

Clustering and projected clustering with adaptive neighbors

A New Feature Extraction Algorithm Based on Orthogonal Regularized Kernel CCA and Its Application

Robust testing of low dimensional functions

A Fast CS-Based Reconstruction Model with Total Variation Constraint for MRI Enhancement in K-Space Domain

Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise

Differential privacy and robust statistics

Hypergraph spectral learning for multi-label classification

Real-time collision culling of a million bodies on graphics processing units

A least squares formulation for canonical correlation analysis

Kalman Temporal Differences

Program generation for small-scale linear algebra applications

Full regularization path for sparse principal component analysis

Driving Fatigue Detection from EEG Using a Modified PCANet Method

Efficiently learning mixtures of two Gaussians

Towards a Uniform Template-based Architecture for Accelerating 2D and 3D CNNs on FPGA

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