b'Nokia'

research

∙ 07/31/2020

L^2C – Learning to Learn to Compress

In this paper we present an end-to-end meta-learned system for image com...

Nannan Zou, et al. ∙

research

∙ 04/20/2020

End-to-End Learning for Video Frame Compression with Self-Attention

One of the core components of conventional (i.e., non-learned) video cod...

Nannan Zou, et al. ∙

research

∙ 03/13/2020

Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index

In this paper, we make an experimental comparison of semi-parametric (Co...

Camila Fernandez, et al. ∙

research

∙ 07/09/2019

Depth from Small Motion using Rank-1 Initialization

Depth from Small Motion (DfSM) (Ha et al., 2016) is particularly interes...

Peter O. Fasogbon, et al. ∙

research

∙ 02/03/2012

Joint Coding and Scheduling Optimization in Wireless Systems with Varying Delay Sensitivities

Throughput and per-packet delay can present strong trade-offs that are i...

Weifei Zeng, et al. ∙

research

∙ 09/22/2017

Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data

In psychology, theory-driven researches are usually conducted with exten...

Xuefeng Liang, et al. ∙

research

∙ 12/06/2016

Video Ladder Networks

We present the Video Ladder Network (VLN) for efficiently generating fut...

Francesco Cricri, et al. ∙

research

∙ 10/24/2016

A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds

With the development of numerous 3D sensing technologies, object registr...

Xiaoshui Huang, et al. ∙

research

∙ 09/22/2015

Modifying iterated Laplace approximations

In this paper, several modifications are introduced to the functional ap...

Tiep Mai, et al. ∙

research

∙ 08/18/2016

A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures

We propose a systematic approach for registering cross-source point clou...

Xiaoshui Huang, et al. ∙

research

∙ 06/11/2011

Clustering with Multi-Layer Graphs: A Spectral Perspective

Observational data usually comes with a multimodal nature, which means t...

Xiaowen Dong, et al. ∙

research

∙ 12/27/2017

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels

Computer vision algorithms with pixel-wise labeling tasks, such as seman...

Caglar Aytekin, et al. ∙

research

∙ 11/22/2017

Budget Allocation in Binary Opinion Dynamics

In this article we study the allocation of a budget to promote an opinio...

Susana Rey, et al. ∙

research

∙ 11/17/2017

Evolution of Social Power for Opinion Dynamics Networks

This article studies the evolution of opinions and interpersonal influen...

Susana Rey, et al. ∙

research

∙ 12/02/2017

High Reliability and Low Latency for Vehicular Networks: Challenges and Solutions

In recent years, wireless networks are undergoing the paradigm transform...

Haojun Yang, et al. ∙

research

∙ 10/31/2017

Energy Efficiency of Multi-user Multi-antenna Random Cellular Networks with Minimum Distance Constraints

Compared with conventional regular hexagonal cellular models, random cel...

Xiaohu Ge, et al. ∙

research

∙ 10/25/2017

What is the Optimal Network Deployment for a Fixed Density of Antennas?

In this paper, we answer a fundamental question: when the total number o...

Xuefeng Yao, et al. ∙

research

∙ 10/15/2017

On the Fundamental Characteristics of Ultra-Dense Small Cell Networks

In order to cope with the forecasted 1000x increase in wireless capacity...

Ming Ding, et al. ∙

research

∙ 01/16/2018

Coexistence of 5G mmWave Users with Incumbent Fixed Stations over 70 and 80 GHz

Millimeter wave spectrum access over the 70GHz and 80GHz is central to u...

Ghaith Hattab, et al. ∙

research

∙ 01/20/2018

Promises and Caveats of Uplink IoT Ultra-Dense Networks

In this paper, by means of simulations, we evaluate the uplink (UL) perf...

Ming Ding, et al. ∙

research

∙ 01/24/2018

A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure

For a graph representation of a dataset, a straightforward normality mea...

Caglar Aytekin, et al. ∙

research

∙ 01/25/2018

A Statistical Approach for RF Exposure Compliance Boundary Assessment in Massive MIMO Systems

Massive multiple-input multiple-output (MIMO) is a fundamental enabler t...

Paolo Baracca, et al. ∙

research

∙ 02/01/2018

Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations

Clustering is essential to many tasks in pattern recognition and compute...

Caglar Aytekin, et al. ∙

research

∙ 04/10/2018

DeepQoE: A unified Framework for Learning to Predict Video QoE

Motivated by the prowess of deep learning (DL) based techniques in predi...

Huaizheng Zhang, et al. ∙

research

∙ 04/11/2018

The New Urban Success: How Culture Pays

Urban economists have put forward the idea that cities that are cultural...

Desislava Hristova, et al. ∙

research

∙ 04/15/2018

A Deterministic Distributed Algorithm for Exact Weighted All-Pairs Shortest Paths in Õ(n^3/2) Rounds

We present a deterministic distributed algorithm to compute all-pairs sh...

Udit Agarwal, et al. ∙

research

∙ 04/18/2018

Hearts and Politics: Metrics for Tracking Biorhythm Changes during Brexit and Trump

Our internal experience of time reflects what is going in the world arou...

Luca Maria Aiello, et al. ∙

research

∙ 04/24/2018

Learning Software Constraints via Installation Attempts

Modern software systems are expected to be secure and contain all the la...

Ran Ben Basat, et al. ∙

research

∙ 05/11/2018

Multi-version Coding with Side Information

In applications of storage systems to modern key-value stores, the store...

Ramy E. Ali, et al. ∙

research

∙ 05/21/2018

Distributed Algorithms for Directed Betweenness Centrality and All Pairs Shortest Paths

The betweenness centrality (BC) of a node in a network (or graph) is a m...

Matteo Pontecorvi, et al. ∙

research

∙ 05/23/2018

Joint String Complexity for Markov Sources: Small Data Matters

String complexity is defined as the cardinality of a set of all distinct...

Philippe Jacquet, et al. ∙

research

∙ 05/24/2018

Intelligent Trainer for Model-Based Reinforcement Learning

Model-based deep reinforcement learning (DRL) algorithm uses the sampled...

Yuanlong Li, et al. ∙

research

∙ 05/28/2018

Block-optimized Variable Bit Rate Neural Image Compression

In this work, we propose an end-to-end block-based auto-encoder system f...

Caglar Aytekin, et al. ∙

research

∙ 06/10/2018

Multi-User Preemptive Scheduling for Critical Low Latency Communications in 5G Networks

5G new radio is envisioned to support three major service classes: enhan...

Ali A. Esswie, et al. ∙

research

∙ 07/23/2018

K--User Interference Channel with Backhaul Cooperation: DoF vs. Backhaul Load Trade--Off

In this paper, we consider multiple-antenna K-user interference channels...

Borna Kananian, et al. ∙

research

∙ 08/10/2018

Efficient Measurement on Programmable SwitchesUsing Probabilistic Recirculation

Programmable network switches promise flexibility and high throughput, e...

Ran Ben Basat, et al. ∙

research

∙ 09/21/2018

Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection

Constrained shortest distance (CSD) querying is one of the fundamental g...

Meng Shen, et al. ∙

research

∙ 10/08/2018

IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks

Face liveness detection has become a widely used technique with a growin...

Meng Shen, et al. ∙

research

∙ 11/21/2018

Nonlinearity Mitigation in WDM Systems: Models, Strategies, and Achievable Rates

After reviewing models and mitigation strategies for interchannel nonlin...

Marco Secondini, et al. ∙

research

∙ 02/01/2019

System Design Considerations For Internet Of Things (IoT) With Category-M Devices In LTE Networks

Successful network deployment of the Internet of Things (IoT) requires m...

Gurudutt Hosangadi, et al. ∙

research

∙ 03/06/2019

Generalized Fast-Convolution-based Filtered-OFDM: Techniques and Application to 5G New Radio

This paper proposes a generalized model and methods for fast-convolution...

Juha Yli-Kaakinen, et al. ∙

research

∙ 04/11/2019

Uplink Grant-Free Random Access Solutions for URLLC services in 5G New Radio

The newly introduced ultra-reliable low latency communication service cl...

Nurul Huda Mahmood, et al. ∙

research

∙ 04/16/2019

Resolving Tensions between Congestion Control Scaling Requirements

Low Latency, Low Loss Scalable throughput (L4S) is being proposed as the...

Bob Briscoe, et al. ∙

research

∙ 05/10/2019

Compressing Weight-updates for Image Artifacts Removal Neural Networks

In this paper, we present a novel approach for fine-tuning a decoder-sid...

Yat Hong Lam, et al. ∙

research

∙ 05/24/2019

A Compression Objective and a Cycle Loss for Neural Image Compression

In this manuscript we propose two objective terms for neural image compr...

Caglar Aytekin, et al. ∙

research

∙ 11/19/2019

Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek

Resource allocation games such as the famous Colonel Blotto (CB) and Hid...

Dong Quan Vu, et al. ∙

research

∙ 12/17/2019

Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing

This letter studies an ultra-reliable low latency communication problem ...

Sadeep Batewela, et al. ∙

research

∙ 04/08/2020

Full-Duplex Radios for Edge Caching

This chapter focuses on the performance enhancement brought by the addit...

Italo Atzeni, et al. ∙

research

∙ 06/09/2020

MLModelCI: An Automatic Cloud Platform for Efficient MLaaS

MLModelCI provides multimedia researchers and developers with a one-stop...

Huaizheng Zhang, et al. ∙

research

∙ 07/28/2020

Efficient Adaptation of Neural Network Filter for Video Compression

We present an efficient finetuning methodology for neural-network filter...

Yat Hong Lam, et al. ∙

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