Peter J. Ramadge

发表

Enabling factor analysis on thousand-subject neuroimaging datasets

Yida Wang, Xia Zhu, Theodore L. Willke, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Mapping between fMRI responses to movies and their natural language annotations

Sanjeev Arora, Yingyu Liang, Po-Hsuan Chen, 2016, NeuroImage.

Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge, 2018, AISTATS.

Real-time conjugate gradients for online fMRI classification

Hao Xu, Peter J. Ramadge, Ray Lee, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A supervisory approach to semi-supervised clustering

Peter J. Ramadge, Yongxin Taylor Xi, Bryan R. Conroy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation pdf

Xia Zhu, Hejia Zhang, Theodore L. Willke, 2016, ArXiv.

Problems in the analysis of complex, high-dimensional datasets

Shannon M. Hughes, Ingrid Daubechies, Peter J. Ramadge, 2008 .

Using sparse regression to learn effective projections for face recognition

Peter J. Ramadge, Yongxin Taylor Xi, P. Ramadge, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Recursive propagation of correspondences with applications to the creation of virtual video

Sanjeev R. Kulkarni, Peter J. Ramadge, Tomio Echigo, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Music genre classification using multiscale scattering and sparse representations

Xu Chen, Peter J. Ramadge, P. Ramadge, 2013, 2013 47th Annual Conference on Information Sciences and Systems (CISS).

Graph-theoretic image registration using prior examples

Mert R. Sabuncu, Peter J. Ramadge, 2005, 2005 13th European Signal Processing Conference.

Collaborative representation, sparsity or nonlinearity: What is key to dictionary based classification?

Xu Chen, Peter J. Ramadge, P. Ramadge, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficiently estimating projective transformations

Peter J. Ramadge, Tomio Echigo, Richard J. Radke, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Three structural results on the lasso problem

Pingmei Xu, Peter J. Ramadge, P. Ramadge, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Estimating correspondence in digital video

Sanjeev R. Kulkarni, Peter J. Ramadge, Richard J. Radke, 2001, Proceedings International Conference on Information Technology: Coding and Computing.

Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters

Ryan P. Adams, Sulin Liu, Peter J. Ramadge, 2020, NeurIPS.

The generalized lasso is reducible to a subspace constrained lasso

Hao Xu, Peter J. Ramadge, David J. Eis, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations pdf

Sanjeev Arora, Yingyu Liang, Po-Hsuan Chen, 2016, ArXiv.

Boosting with Spatial Regularization

Peter J. Ramadge, Uri Hasson, Yongxin Taylor Xi, 2009, NIPS.

Screening Tests for Lasso Problems

Peter J. Ramadge, Yun Wang, Zhen James Xiang, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Using Spanning Graphs for Efficient Image Registration

Mert R. Sabuncu, Peter J. Ramadge, P. Ramadge, 2008, IEEE Transactions on Image Processing.

Descent Methods for Tuning Parameter Refinement

Peter J. Ramadge, Alexander Lorbert, P. Ramadge, 2010, AISTATS.

The Landscape of Matrix Factorization Revisited pdf

Hossein Valavi, Peter J. Ramadge, Sulin Liu, 2020, ArXiv.

Joint SVD-Hyperalignment for multi-subject FMRI data alignment

Po-Hsuan Chen, Peter J. Ramadge, J. S. Guntupalli, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Sparse representation classification via sequential Lasso screening

Xu Chen, Yun Wang, Peter J. Ramadge, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Automated analysis and annotation of basketball video

Sanjeev R. Kulkarni, Yap-Peng Tan, Peter J. Ramadge, 1997, Electronic Imaging.

Error stabilization in successive estimation of registration parameters

Peter J. Ramadge, Vitali Zagorodnov, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Measuring representational similarity across neural networks

Peter J. Ramadge, Kenneth A. Norman, Uri Hasson, 2018, CogSci.

Speed and Sparsity of Regularized Boosting

Robert E. Schapire, Peter J. Ramadge, Yongxin Taylor Xi, 2009, AISTATS.

Efficiently synthesizing virtual video

Sanjeev R. Kulkarni, Peter J. Ramadge, Tomio Echigo, 2003, IEEE Trans. Circuits Syst. Video Technol..

Online Kernel SVM for real-time fMRI brain state prediction

Hao Xu, Peter J. Ramadge, Ray Lee, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Safe Reinforcement Learning with Natural Language Constraints pdf

Peter J. Ramadge, Yinlam Chow, Tsung-Yen Yang, 2020, ArXiv.

Using view interpolation for low bit rate video

Sanjeev R. Kulkarni, Peter J. Ramadge, Tomio Echigo, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement

Hossein Valavi, Naveen Verma, Peter J. Ramadge, 2018, 2018 IEEE Symposium on VLSI Circuits.

A new method for camera motion parameter estimation

Sanjeev R. Kulkarni, Yap-Peng Tan, Peter J. Ramadge, 1995, Proceedings., International Conference on Image Processing.

A Reduced-Dimension fMRI Shared Response Model

Po-Hsuan Chen, Peter J. Ramadge, Janice Chen, 2015, NIPS.

Sparse boosting

Peter J. Ramadge, Zhen James Xiang, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Rapid estimation of camera motion from compressed video with application to video annotation

Sanjeev R. Kulkarni, Yap-Peng Tan, Peter J. Ramadge, 2000, IEEE Trans. Circuits Syst. Video Technol..

Collaborative denoising of multi-subject fMRI data

Peter J. Ramadge, James V. Haxby, J. Swaroop Guntupalli, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Contraction Approach to Model-based Reinforcement Learning pdf

Peter J. Ramadge, Ting-Han Fan, P. Ramadge, 2020, AISTATS.

Kernel Hyperalignment

Peter J. Ramadge, Alexander Lorbert, P. Ramadge, 2012, NIPS.

Learning to identify container contents through tactile vibration signatures

Peter J. Ramadge, Carolyn L. Chen, Jeffrey O. Snyder, 2016, 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).

Edge-Preserving Image Regularization Based on Morphological Wavelets and Dyadic Trees

Peter J. Ramadge, Zhen James Xiang, P. Ramadge, 2012, IEEE Transactions on Image Processing.

Bridge detection and robust geodesics estimation via random walks

Peter J. Ramadge, Eugene Brevdo, P. Ramadge, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

On real-time scheduling policies for flexible manufacturing systems

Peter J. Ramadge, C. Chase, P. Ramadge, 1992 .

Ghost error elimination and superimposition of moving objects in video mosaicing

Hisashi Miyamori, Peter J. Ramadge, Tomio Echigo, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

A semi-supervised method for multi-subject FMRI functional alignment

Theodore L. Willke, Javier Turek, Po-Hsuan Chen, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-dataset Low-rank Matrix Factorization

Hossein Valavi, Peter J. Ramadge, P. Ramadge, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

The grouped two-sided orthogonal Procrustes problem

Peter J. Ramadge, Bryan R. Conroy, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feedback-Controlled Sequential Lasso Screening pdf

Xu Chen, Yun Wang, Peter J. Ramadge, 2016, ArXiv.

A globally convergent adaptive predictor

Graham C. Goodwin, Peter E. Caines, Peter J. Ramadge, 1981, Autom..

Fast alignment of digital images using a lower bound on an entropy metric

Mert R. Sabuncu, Peter J. Ramadge, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Detecting stimulus driven changes in functional brain connectivity

Pingmei Xu, Hao Xu, Peter J. Ramadge, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis pdf

Xia Zhu, Hejia Zhang, Theodore L. Willke, 2016, ArXiv.

Shared Representational Geometry Across Neural Networks pdf

Po-Hsuan Chen, Peter J. Ramadge, Kenneth A. Norman, 2018, ArXiv.

Data rate smoothing in interactive walkthrough applications using 2D prefetching

Peter J. Ramadge, Vitali Zagorodnov, 2002, Proceedings. International Conference on Image Processing.

The Pairwise Elastic Net support vector machine for automatic fMRI feature selection

Peter J. Ramadge, Alexander Lorbert, P. Ramadge, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis

Qihong, Theodore L. Willke, Nicholas B. Turk-Browne, 2020, PLoS Comput. Biol..

Regularized hyperalignment of multi-set fMRI data

Hao Xu, Peter J. Ramadge, J. S. Guntupalli, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Connecting spectral and spring methods for manifold learning

Shannon M. Hughes, Peter J. Ramadge, P. Ramadge, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Gradient based optimization of an EMST image registration function

Mert R. Sabuncu, Peter J. Ramadge, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Function-based Intersubject Alignment of

Mert R. Sabuncu, Peter J. Ramadge, James V. Haxby, 2010 .

Reduction of Timed Hybrid Systems

Sanjeev R. Kulkarni, Stefano Di Gennaro, Peter J. Ramadge, 1998, Discret. Event Dyn. Syst..

Inter-subject alignment of human cortical anatomy using functional connectivity

Peter J. Ramadge, Bryan R. Conroy, J. S. Guntupalli, 2013, NeuroImage.

Proceedings of the 22nd Conference on Information Sciences and Systems, March 16, 17, 18, 1988

Sergio Verdú, Peter J. Ramadge, P. Ramadge, 1988 .

fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity

Peter J. Ramadge, Bryan R. Conroy, James V. Haxby, 2009, NIPS.

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net

David M. Blei, Victoria Kostina, Peter J. Ramadge, 2010, AISTATS.

An Upper-Bound on the Required Size of a Neural Network Classifier

Hossein Valavi, Peter J. Ramadge, P. Ramadge, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spatial Information in Entropy-Based Image Registration

Mert R. Sabuncu, Peter J. Ramadge, P. Ramadge, 2003, WBIR.

Learning a wavelet tree for multichannel image denoising

Pingmei Xu, Zhuo Zhang, Peter J. Ramadge, 2011, 2011 18th IEEE International Conference on Image Processing.

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies pdf

Justinian Rosca, Peter J. Ramadge, Tsung-Yen Yang, 2020, ICML.

Separable PCA for image classification

Peter J. Ramadge, Yongxin Taylor Xi, P. Ramadge, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Model Imitation for Model-Based Reinforcement Learning pdf

Hao Su, Peter J. Ramadge, Yueh-Hua Wu, 2019, ArXiv.

Extracting good features for motion estimation

Sanjeev R. Kulkarni, Yap-Peng Tan, Peter J. Ramadge, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

CONTACT SURFACE AREA: A NOVEL SIGNAL FOR HEART RATE ESTIMATION IN SMARTPHONE VIDEOS

Peter J. Ramadge, Sara Fridovich-Keil, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Ultimate Objectives and Prior Knowledge in System Identification

Graham C. Goodwin, Peter J. Ramadge, 1979 .

Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries

Hao Xu, Peter J. Ramadge, Zhen James Xiang, 2011, NIPS.

Morphological wavelet transform with adaptive dyadic structures

Peter J. Ramadge, Zhen James Xiang, 2010, 2010 IEEE International Conference on Image Processing.

A framework for measuring video similarity and its application to video query by example

Sanjeev R. Kulkarni, Yap-Peng Tan, Peter J. Ramadge, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Level set estimation on the sphere

Peter J. Ramadge, Alexander Lorbert, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Fast lasso screening tests based on correlations

Peter J. Ramadge, Zhen James Xiang, P. Ramadge, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Rotational Lasso

Peter J. Ramadge, Alexander Lorbert, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The 2-codeword screening test for lasso problems

Hao Wu, Peter J. Ramadge, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Revisiting the Landscape of Matrix Factorization

Hossein Valavi, Peter J. Ramadge, Sulin Liu, 2020, AISTATS.

The Symmetry of a Simple Optimization Problem in Lasso Screening pdf

Yun Wang, Peter J. Ramadge, P. Ramadge, 2016, ArXiv.

Morphological wavelets and the complexity of dyadic trees

Peter J. Ramadge, Zhen James Xiang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Tradeoffs in improved screening of lasso problems

Yun Wang, Peter J. Ramadge, Zhen James Xiang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Lasso screening with a small regularization parameter

Yun Wang, Peter J. Ramadge, Zhen James Xiang, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute

Hossein Valavi, Naveen Verma, Peter J. Ramadge, 2019, IEEE Journal of Solid-State Circuits.

Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective pdf

Peter J. Ramadge, Ting-Han Fan, P. Ramadge, 2021, ArXiv.

ProBF: Learning Probabilistic Safety Certificates with Barrier Functions pdf

Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge, 2021, ArXiv.

Learning to Control Using a Convex Combination of Controllers

Peter J. Ramadge, Athindran Ramesh Kumar, 2021, 2021 American Control Conference (ACC).

DiffLoop: Tuning PID Controllers by Differentiating Through the Feedback Loop

Peter J. Ramadge, Athindran Ramesh Kumar, P. Ramadge, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

An Experimental Study of Balance in Matrix Factorization

Peter J. Ramadge, Jennifer Hsia, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies

Justinian P. Rosca, Peter J. Ramadge, Tsung-Yen Yang, 2021, ICML.

Algebraic Decomposition of Controlled Sequential Machines

W. M. Wonham, Peter J. Ramadge, P. Ramadge, 1981 .

Corrigendum: Discrete Time Stochastic Adaptive Control

Graham C. Goodwin, Peter E. Caines, Peter J. Ramadge, 1982 .

Mutual exclusion problems for discrete event systems with shared events

Peter J. Ramadge, C. H. Golaszewski, P. Ramadge, 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

Convergence of Recursive Optimization Algorithms using IPA Derivative Estimates

Edwin K. P. Chong, Peter J. Ramadge, 1990, 1990 American Control Conference.

On the periodicity of symbolic observations of piecewise smooth discrete-time systems

Peter J. Ramadge, P. Ramadge, 1990 .