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Oct 18, 2018
By ms4415
Machine Learning
Computer Vision

KTAN: Knowledge Transfer Adversarial Network

To reduce the large computation and storage cost of a deep convolutional neural network, the knowledge distillation based methods have pioneered to...
Feb 05, 2018
By yyhou
Analysis of PDEs

The convexity of inclusions and gradient's concentration for Lamé ...

It is interesting to study the stress concentration between two adjacent stiff inclusions in composite materials, which can be modeled by the Lam\'...
Feb 05, 2017
By yttang
Systems and Control
Optimization and Control

Distributed Coordination for a Class of Nonlinear Multi-agent Syste...

In this paper, a multi-agent coordination problem with steady-state regulation constraints is investigated for a class of nonlinear systems. Unlike...
Mar 20, 2018
Machine Learning

Fair Deep Learning Prediction for Healthcare Applications with Co...

The rapid development of deep learning methods has permitted the fast and accurate medical decision making from complex structured data, like CT im...
Mar 28, 2017
By qsujuan

In this paper, we have discussed the assisted coherence distillation of some mixed states, such as the states with vanished (incoherent) basis-dependent discord and Werner states, via the set of operations X, where X is either LICC, LQICC, SI or S...

Assisted coherence distillation of certain mixed states

In the task of assisted coherence distillation via the set of operations X, where X is either local incoherent operations and classical communicati...
May 26, 2018
By qiao
Information Theory

Sphere Decoder with Box Optimization for FTN Non-orthogonal FDM System

In 1975, the pioneering work of J. E. Mazo showed the potential faster-than-Nyquist (FTN) gain of single-carrier binary signal. If the inter-symbol...
Mar 12, 2017
By qiao
Information Theory

An Improved Diversity Combining Receiver for Layered ACO-FOFDM in I...

In this paper, an improved receiver based on diversity combining is proposed to improve the bit error rate (BER) performance of layered asymmetrica...
Jan 25, 2016
By sy7g09
Information Theory

Large-Scale MIMO is Capable of Eliminating Power-Thirsty Channel Co...

A wireless video transmission architecture relying on the emerging large-scale multiple-input--multiple-output (LS-MIMO) technique is proposed. Upo...
May 03, 2016
Computer Vision

Recurrent Convolutional Neural Network Regression for Continuous Pa...

Automatic pain intensity estimation possesses a significant position in healthcare and medical field. Traditional static methods prefer to extract ...
Jul 13, 2018
Adaptation and Self-Organizing Systems

Chimera states in nonlocally coupled bicomponent phase oscillators:...

Chimera states, a symmetry-breaking spatiotemporal pattern in nonlocally coupled identical dynamical units, prevail in a variety of systems. Here, ...
Sep 15, 2018
Networking and Internet Architecture

Deep Reinforcement Learning Based Mode Selection and Resource Manag...

Fog radio access networks (F-RANs) are seen as potential architectures to support services of internet of things by leveraging edge caching and edg...
Mar 20, 2018
Information Theory

In this work, we discussed the joint optimization of offloading strategy and wireless resource allocation problem in a MEC system with multiple users and servers. In the resource constrained system, an EEJS algorithm exploiting the tradeoff betwee...

Energy-Efficient Joint Offloading and Wireless Resource Allocation ...

Mobile edge computing (MEC) is an emerging paradigm that mobile devices can offload the computation-intensive or latency-critical tasks to the near...
Feb 12, 2019
By zqh
Signal Processing

A Novel Rate and Channel Control Scheme Based on Data Extraction Ra...

Long Range (LoRa) has become one of the most popular Low Power Wide Area (LPWA) technologies, which provides a desirable trade-off among communicat...
Jan 31, 2019
By wang
Social and Information Networks
Machine Learning

HAHE: Hierarchical Attentive Heterogeneous Information Network Embe...

Given the intractability of large scale HIN, network embedding which learns low dimensional proximity-preserved representations for nodes in the ne...
Nov 20, 2018
Computer Vision

Learning Better Features for Face Detection with Feature Fusion and...

The performance of face detectors has been largely improved with the development of convolutional neural network. However, it remains challenging f...
Feb 05, 2018
By hjju
Analysis of PDEs

Blowup Analysis for the Perfect Conductivity Problem with convex bu...

In the perfect conductivity problem, it is interesting to study whether the electric field can become arbitrarily large or not, in a narrow region ...
Oct 09, 2018
By 519200
Computer Vision

Deep Attentive Tracking via Reciprocative Learning

Visual attention, derived from cognitive neuroscience, facilitates human perception on the most pertinent subset of the sensory data. Recently, sig...
May 17, 2017
Information Theory

Polar-Coded Non-Orthogonal Multiple Access

Non-orthogonal multiple access (NOMA) is one of the key techniques to address the high spectral efficiency and massive connectivity requirements fo...
Sep 20, 2018
By daill
Information Theory

Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA with Sim...

Non-orthogonal multiple access (NOMA) has been recently considered in millimeter-wave (mmWave) massive MIMO systems to further enhance the spectrum...
Sep 24, 2018
Networking and Internet Architecture
Machine Learning

Application of Machine Learning in Wireless Networks: Key Technique...

As a key technique for enabling artificial intelligence, machine learning (ML) has been shown to be capable of solving complex problems without exp...
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