Home      Discussions      About
Join us

@bupt.edu.cn

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 for…
Feb 05, 2018
By hjju
Analysis of PDEs

Blowup Analysis for the Perfect Conductivity Problem with convex but …

In the perfect conductivity problem, it is interesting to study whether the electric field can become arbitrarily large or not, in a narrow region be…
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, signi…
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 for …
Sep 24, 2018
Networking and Internet Architecture
Machine Learning

Application of Machine Learning in Wireless Networks: Key Techniques …

As a key technique for enabling artificial intelligence, machine learning (ML) has been shown to be capable of solving complex problems without expli…
Sep 10, 2018
By bestbzw
Computation and Language

Learning to Generate Structured Queries from Natural Language with …

Generating structured query language (SQL) from natural language is an emerging research topic. This paper presents a new learning paradigm from indi…
May 16, 2014
By tianhui
Information Retrieval
Social and Information Networks
Physics and Society

Personalized recommendation with corrected similarity

Personalized recommendation attracts a surge of interdisciplinary researches. Especially, similarity based methods in applications of real recommenda…
Aug 17, 2018
Signal Processing
Computer Vision
Machine Learning

On Geometric Analysis of Affine Sparse Subspace Clustering

Sparse subspace clustering (SSC) is a state-of-the-art method for segmenting a set of data points drawn from a union of subspaces into their respecti…
Jun 20, 2018
By wzp
Information Retrieval

Optimization Matrix Factorization Recommendation Algorithm Based on …

Matrix factorization (MF) is extensively used to mine the user preference from explicit ratings in recommender systems. However, the reliability of e…
Nov 26, 2016
Networking and Internet Architecture

In this paper, we proposed a game theoretic framework for energy cooperation in wireless sensor networks with energy harvesting and wireless power transfer. Based on the optimal inventory amount of energy at each sensor node, sensor nodes with exces…

Green Wireless Sensor Networks with Wireless Power Transfer

An energy cooperation policy for energy harvesting wireless sensor networks (WSNs) with wireless power transfer is proposed in this paper to balance …
Oct 17, 2016
Computer Vision

Structured Sparse Subspace Clustering: A Joint Affinity Learning and …

Subspace clustering refers to the problem of segmenting data drawn from a union of subspaces. State-of-the-art approaches for solving this problem fo…
Jun 02, 2016
Neural and Evolutionary Computation

On the performance of different mutation operators of a subpopulati…

The performance of different mutation operators is usually evaluated in conjunc-tion with specific parameter settings of genetic algorithms and targe…
Feb 26, 2019
Robotics
Computer Vision

MRS-VPR: a multi-resolution sampling based global visual place reco…

Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most succe…
Feb 19, 2019
Computer Vision

Detector-in-Detector: Multi-Level Analysis for Human-Parts

Vision-based person, hand or face detection approaches have achieved incredible success in recent years with the development of deep convolutional ne…
May 31, 2018
By mathio
Signal Processing

Millimeter-Wave NOMA Transmission in Cellular M2M Communications for …

Massive connectivity and low latency are two important challenges for the Internet of Things (IoT) to achieve the Quality of Service (QoS) provisions…
May 25, 2016
By gaof

Self-tallying Quantum Anonymous Voting

Anonymous voting is a voting method of hiding the link between a vote and a voter, the context of which ranges from governmental elections to decisio…
Jun 18, 2018
Signal Processing

Dense People Counting Using IR-UWB Radar with a Hybrid Feature Extr…

People counting is one of the hottest issues in sensing applications. The impulse radio ultra-wideband (IR-UWB) radar has been extensively applied to…
Mar 18, 2019
Social and Information Networks

Heterogeneous Graph Attention Network

Graph neural network, as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable …
Sep 20, 2018
By daill
Information Theory

Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA with Simul…

Non-orthogonal multiple access (NOMA) has been recently considered in millimeter-wave (mmWave) massive MIMO systems to further enhance the spectrum e…
May 15, 2019
Computation and Language
Computer Vision

Aligning Visual Regions and Textual Concepts: Learning Fine-Grained …

In image-grounded text generation, fine-grained representations of the image are considered to be of paramount importance. Most of the current system…
There aren't more papers

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description