Search Results for author: Jacob Chakareski

Found 6 papers, 3 papers with code

BONES: Near-Optimal Neural-Enhanced Video Streaming

1 code implementation15 Oct 2023 Lingdong Wang, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman

Accessing high-quality video content can be challenging due to insufficient and unstable network bandwidth.

CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds

1 code implementation12 Sep 2022 Lingdong Wang, Mohammad Hajiesmaili, Jacob Chakareski, Ramesh K. Sitaraman

Point cloud upsampling is essential for high-quality augmented reality, virtual reality, and telepresence applications, due to the capture, processing, and communication limitations of existing technologies.

point cloud upsampling Vocal Bursts Intensity Prediction

Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors

no code implementations22 Jul 2018 Nikhilesh Sharma, Nicholas Mastronarde, Jacob Chakareski

Our experiments demonstrate that the proposed algorithm closely approximates the performance of an optimal offline solution that requires a priori knowledge of the channel, captured data, and harvested energy dynamics.

Q-Learning reinforcement-learning +2

Structural Properties of Optimal Transmission Policies for Delay-Sensitive Energy Harvesting Wireless Sensors

no code implementations26 Mar 2018 Nikhilesh Sharma, Nicholas Mastronarde, Jacob Chakareski

We consider an energy harvesting sensor transmitting latency-sensitive data over a fading channel.

Networking and Internet Architecture

Matrix Factorization-Based Clustering Of Image Features For Bandwidth-Constrained Information Retrieval

no code implementations7 May 2016 Jacob Chakareski, Immanuel Manohar, Shantanu Rane

The image matching complexity at the database server is quadratic in the (small) number of clusters, not in the (very large) number of image features.

Clustering Information Retrieval +2

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