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May 15, 2018
Computer Vision

MEnet: A Metric Expression Network for Salient Object Segmentation

Recent CNN-based saliency models have achieved great performance on public datasets, however, most of them are sensitive to distortion (e.g., noise, …
Nov 11, 2015
Exactly Solvable and Integrable Systems
Mathematical Physics
Optics

Multi-soliton, multi-breather and higher-order rogue wave solutions t…

In the present paper, we are concerned with the general localized solutions for the complex short pulse equation including soliton, breather and rogu…
Nov 15, 2012
Numerical Analysis
Machine Learning

Accelerated Canonical Polyadic Decomposition by Using Mode Reduction

Canonical Polyadic (or CANDECOMP/PARAFAC, CP) decompositions (CPD) are widely applied to analyze high order tensors. Existing CPD methods use alterna…
Jul 07, 2015
Information Theory

Joint Power Splitting and Secure Beamforming Design in the Multiple …

The physical-layer security issue in the multiple non-regenerative wireless-powered relay (WPR) networks is investigated in this letter, where the id…
Jul 12, 2016
Mesoscale and Nanoscale Physics

Tailoring the topological details of the magnetic skyrmion by the spi…

The magnetic skyrmion structure can be formed in the chiral magnets (CMs) with strong Dzyaloshinskii-Moriya interactions. In this work, we propose a …
Apr 16, 2018
Computer Vision

Multi-modality Sensor Data Classification with Selective Attention

Multimodal wearable sensor data classification plays an important role in ubiquitous computing and has a wide range of applications in scenarios from…
Mar 20, 2018
Computer Vision

Unsupervised Cross-dataset Person Re-identification by Transfer Learn…

Most of the proposed person re-identification algorithms conduct supervised training and testing on single labeled datasets with small size, so direc…
Aug 09, 2018
Computer Vision

An Iterative Boundary Random Walks Algorithm for Interactive Image …

The interactive image segmentation algorithm can provide an intelligent ways to understand the intention of user input. Many interactive methods have…
Feb 26, 2015
Databases

Optimizing Batch Linear Queries under Exact and Approximate Different…

Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random no…
Nov 06, 2017
Information Theory

Secure Transmission in Linear Multihop Relaying Networks

This paper studies the design and secrecy performance of linear multihop networks, in the presence of randomly distributed eavesdroppers in a large-s…
Jan 19, 2018
Information Theory

Energy-Efficient SWIPT in IoT Distributed Antenna Systems

The rapid growth of Internet of Things (IoT) dramatically increases power consumption of wireless devices. Simultaneous wireless information and powe…
Feb 22, 2016
Information Theory

Wireless Information and Power Transfer for Multi-Relay Assisted Co…

In this paper, we consider simultaneous wireless information and power transfer (SWIPT) in multi-relay assisted two-hop relay system, where multiple …
Feb 22, 2016
Information Theory

Optimal Mode Selection in D2D-Enabled Multi-Base Station Systems

In this paper, we consider device-to-device (D2D) communication underlaying uplink cellular networks with multiple base stations (BSs), where each us…
Jun 09, 2019
Computer Vision

Soft-ranking Label Encoding for Robust Facial Age Estimation

Automatic facial age estimation can be used in a wide range of real-world applications. However, this process is challenging due to the randomness an…
Nov 23, 2016
Computer Vision

T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajector…

Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditio…
Dec 27, 2018

Kerr-de Sitter and Kerr-anti-de Sitter black holes as accelerators fo…

It is shown that the Kerr black hole could act as accelerators for spinning particles. In principle, it could obtain arbitrarily high energy for extr…
May 15, 2019
Machine Learning
Computer Vision

Orthogonal Deep Neural Networks

In this paper, we introduce the algorithms of Orthogonal Deep Neural Networks (OrthDNNs) to connect with recent interest of spectrally regularized de…
Nov 01, 2016
Information Theory

Joint Antenna Selection and Spatial Switching for Energy Efficient MI…

In this paper, we investigate joint antenna selection and spatial switching (SS) for quality-of-service (QoS)-constrained energy efficiency (EE) opti…
Feb 23, 2019
Computer Vision

A Deep, Information-theoretic Framework for Robust Biometric Recognit…

Deep neural networks (DNN) have been a de facto standard for nowadays biometric recognition solutions. A serious, but still overlooked problem in the…
Mar 25, 2019
Computer Vision

ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Stree…

In this paper, we introduce the ShopSign dataset, which is a newly developed natural scene text dataset of Chinese shop signs in street views. Althou…
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