Imagen de Portada

K-Deep Simplex: Deep Manifold Learning via Local Dictionaries

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tankala, Pranay, Tasissa, Abiy, Murphy, James M., Ba, Demba
Formato:	Preprint
Publicado:	2020
Materias:	Machine Learning Information Theory Signal Processing Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Weighed l1 on the simplex: Compressive sensing meets locality
por: Tasissa, Abiy, et al.
Publicado: (2021)

Discriminative reconstruction via simultaneous dense and sparse coding
por: Tasissa, Abiy, et al.
Publicado: (2020)

Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations
por: Mueller, Marshall, et al.
Publicado: (2024)

Localization from structured distance matrices via low-rank matrix recovery
por: Lichtenberg, Samuel, et al.
Publicado: (2023)

Robust Node Localization for Rough and Extreme Deployment Environments
por: Tasissa, Abiy, et al.
Publicado: (2025)

A Dual Basis Approach for Structured Robust Euclidean Distance Geometry
por: Kundu, Chandra, et al.
Publicado: (2025)

Structured Sampling for Robust Euclidean Distance Geometry
por: Kundu, Chandra, et al.
Publicado: (2024)

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing
por: Abbasi, Ahmed, et al.
Publicado: (2022)

Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
por: Luo, Yuetian, et al.
Publicado: (2021)

Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
por: Gao, Yihang, et al.
Publicado: (2025)

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
por: Taherpour, Amirhossein, et al.
Publicado: (2025)

The Local Landscape of Phase Retrieval Under Limited Samples
por: Liu, Kaizhao, et al.
Publicado: (2023)

Dictionary Learning under Symmetries via Group Representations
por: Ghosh, Subhroshekhar, et al.
Publicado: (2023)

ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
por: Gao, Yihang, et al.
Publicado: (2026)

Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
por: Romanov, Elad, et al.
Publicado: (2024)

Simple Alternating Minimization Provably Solves Complete Dictionary Learning
por: Liang, Geyu, et al.
Publicado: (2022)

RACH-Space: Reconstructing Adaptive Convex Hull Space with Applications in Weak Supervision
por: Na, Woojoo, et al.
Publicado: (2023)

Quickest Change Detection with Confusing Change
por: Chen, Yu-Zhen Janice, et al.
Publicado: (2024)

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
por: Noah, Yoav, et al.
Publicado: (2023)

Waterfilling at the Edge: Optimal Percentile Resource Allocation via Risk-Averse Reduction
por: Yaylali, Gokberk, et al.
Publicado: (2025)

QoS-based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality
por: Fan, Xilai, et al.
Publicado: (2023)

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
por: Zheng, Paul, et al.
Publicado: (2026)

Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
por: Kolomvakis, Christos, et al.
Publicado: (2025)

Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees
por: Smith, Chandler, et al.
Publicado: (2024)

An Adaptive Proximal Inexact Gradient Framework and Its Application to Per-Antenna Constrained Joint Beamforming and Compression Design
por: Fan, Xilai, et al.
Publicado: (2025)

Uplink Pilot and Data Power Control for Single Cell Massive MIMO Systems with MRC
por: Cheng, Hei Victor, et al.
Publicado: (2015)

Optimal Pilot and Payload Power Control in Single-Cell Massive MIMO Systems
por: Cheng, Hei Victor, et al.
Publicado: (2016)

A New Adaptive Balanced Augmented Lagrangian Method with Application to ISAC Beamforming Design
por: Wu, Jiageng, et al.
Publicado: (2024)

A Survey of Recent Advances in Optimization Methods for Wireless Communications
por: Liu, Ya-Feng, et al.
Publicado: (2024)

Quantized Constant-Envelope Waveform Design for Massive MIMO DFRC Systems
por: Wu, Zheyu, et al.
Publicado: (2024)

Beamforming Design for Integrated Sensing and Communications Using Uplink-Downlink Duality
por: Attiah, Kareem M., et al.
Publicado: (2024)

Covariance-Based Activity Detection in Cooperative Multi-Cell Massive MIMO: Scaling Law and Efficient Algorithms
por: Wang, Ziyue, et al.
Publicado: (2023)

QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks
por: Chen, Wei-Kun, et al.
Publicado: (2024)

Computing Capacity-Cost Functions for Continuous Channels in Wasserstein Space
por: Li, Xinyang, et al.
Publicado: (2025)

Asymptotics of Proximity Operator for Squared Loss and Performance Prediction of Nonconvex Sparse Signal Recovery
por: Hayakawa, Ryo
Publicado: (2021)

Duality-Based Fixed Point Iteration Algorithm for Beamforming Design in ISAC Systems
por: Fan, Xilai, et al.
Publicado: (2025)

Computation of Capacity-Distortion-Cost Functions for Continuous Memoryless Channels
por: Li, Xinyang, et al.
Publicado: (2025)

Covariance-Based Device Activity Detection with Massive MIMO for Near-Field Correlated Channels
por: Wang, Ziyue, et al.
Publicado: (2024)

Optimization of Beyond Diagonal RIS: A Universal Framework Applicable to Arbitrary Architectures
por: Wu, Zheyu, et al.
Publicado: (2024)

An Efficient Benders Decomposition Approach for Optimal Large-Scale Network Slicing
por: Chen, Wei-Kun, et al.
Publicado: (2023)