Publications associées à Optimized Packet Scheduling in Multiview Video Navigation Systems

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Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Optimized Packet Scheduling in Multiview Video Navigation Systems

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Minimum Cost Intervention Design for Causal Effect Identification

Over-the-Air Computation via Reconfigurable Intelligent Surface

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Sampling can be faster than optimization

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Over-the-Air Computation via Reconfigurable Intelligent Surface

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Minimum Cost Intervention Design for Causal Effect Identification

Sampling can be faster than optimization

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals