Daniel L. Pimentel-Alarcón

发表

Daniel L. Pimentel-Alarcón, 2018, NeurIPS.

Corrections to "A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion"

Robert D. Nowak, Daniel L. Pimentel-Alarcón, Nigel Boston, 2016, IEEE Journal on Selected Topics in Signal Processing.

Low algebraic dimension matrix completion

Robert D. Nowak, Rebecca Willett, Daniel L. Pimentel-Alarcón, 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Adversarial principal component analysis

Daniel L. Pimentel-Alarcón, Aritra Biswas, Claudia R. Solís-Lemus, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

To lie or not to lie in a subspace pdf

Daniel L. Pimentel-Alarcón, 2014, ArXiv.

Necessary and sufficient conditions for sketched subspace clustering

Robert D. Nowak, Laura Balzano, Daniel L. Pimentel-Alarcón, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

A characterization of deterministic sampling patterns for low-rank matrix completion

Robert D. Nowak, Daniel L. Pimentel-Alarcón, Nigel Boston, 2015, Allerton.

Breaking the Limits of Subspace Inference

Daniel L. Pimentel-Alarcón, Claudia R. Solís-Lemus, 2018, 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

A converse to low-rank matrix completion

Robert D. Nowak, Daniel L. Pimentel-Alarcón, 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

Fusion Subspace Clustering: Full and Incomplete Data pdf

Daniel L. Pimentel-Alarcón, Usman Mahmood, Usman Mahmood, 2018, ArXiv.

A characterization of deterministic sampling patterns for low-rank matrix completion

Nigel Boston, Robert D. Nowak, Daniel L. Pimentel-Alarcón, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Crime Detection via Crowdsourcing

Daniel L. Pimentel-Alarcón, Claudia R. Solís-Lemus, 2016, MCPR.

Random Consensus Robust PCA

Robert D. Nowak, Daniel L. Pimentel-Alarcón, R. Nowak, 2017, AISTATS.

Deterministic conditions for subspace identifiability from incomplete sampling

Nigel Boston, Robert D. Nowak, Daniel L. Pimentel-Alarcón, 2014, 2015 IEEE International Symposium on Information Theory (ISIT).

The Information-Theoretic Requirements of Subspace Clustering with Missing Data

Robert D. Nowak, Daniel L. Pimentel-Alarcón, R. Nowak, 2016, ICML.

Mixed-Features Vectors and Subspace Splitting

Daniel L. Pimentel-Alarcón, Alejandro Pimentel-Alarcón, 2021, ICLR.

Fusion Subspace Clustering: Full & Incomplete Data

Daniel L. Pimentel-Alarcón, U. Mahmood, 2018 .

Tensor Methods for Nonlinear Matrix Completion pdf

Robert D. Nowak, Rebecca Willett, Laura Balzano, 2018, SIAM J. Math. Data Sci..

Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks

Daniel L. Pimentel-Alarcón, Claudia R. Solís-Lemus, Tatiana Midori Maeda, 2021, Ecological Indicators.

On the sample complexity of subspace clustering with missing data

Robert D. Nowak, Laura Balzano, Daniel L. Pimentel-Alarcón, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Group-sparse subspace clustering with missing data

Robert D. Nowak, Rebecca Willett, Roummel F. Marcia, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

A characterization of deterministic sampling patterns for low-rank matrix completion

Daniel L. Pimentel-Alarcón, R. Nowak, N. Boston, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).