
-
Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network
The Gleason grading system using histological images is the most powerfu...
read it
-
Dual ResGCN for Balanced Scene GraphGeneration
Visual scene graph generation is a challenging task. Previous works have...
read it
-
Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Semi-supervision is a promising paradigm for Bilingual Lexicon Induction...
read it
-
A Relaxed Matching Procedure for Unsupervised BLI
Recently unsupervised Bilingual Lexicon Induction (BLI) without any para...
read it
-
Too Much Information Kills Information: A Clustering Perspective
Clustering is one of the most fundamental tools in the artificial intell...
read it
-
Personalized Federated Learning: An Attentive Collaboration Approach
For the challenging computational environment of IOT/edge computing, per...
read it
-
A unified structure preserving scheme for a multi-species model with a gradient flow structure and nonlocal interactions via singular kernels
In this paper, we consider a nonlinear and nonlocal parabolic model for ...
read it
-
Compositions of pseudo-symmetric integrators with complex coefficients for the numerical integration of differential equations
In this paper, we are concerned with the construction and analysis of a ...
read it
-
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Adversarial examples have been well known as a serious threat to deep ne...
read it
-
Controllable Descendant Face Synthesis
Kinship face synthesis is an interesting topic raised to answer question...
read it
-
Structural-Aware Sentence Similarity with Recursive Optimal Transport
Measuring sentence similarity is a classic topic in natural language pro...
read it
-
Online Joint Placement and Allocation of Virtual Network Functions with Heterogeneous Servers
Network Function Virtualization (NFV) is a promising virtualization tech...
read it
-
Ensemble emotion recognizing with multiple modal physiological signals
Physiological signals that provide the objective repression of human aff...
read it
-
LAC-Nav: Collision-Free Mutiagent Navigation Based on The Local Action Cells
Collision avoidance is one of the most primary requirement in the decent...
read it
-
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access
Sparse code multiple access (SCMA) has been one of non-orthogonal multip...
read it
-
Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling
Given two sets of objects, metric similarity join finds all similar pair...
read it
-
Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
In this work, we study the robustness of a CNN+RNN based image captionin...
read it
-
Wasserstein-Fisher-Rao Document Distance
As a fundamental problem of natural language processing, it is important...
read it
-
A constant FPT approximation algorithm for hard-capacitated k-means
Hard-capacitated k-means (HCKM) is one of the fundamental problems remai...
read it
-
A constant parameterized approximation for hard-capacitated k-means
Hard-capacitated k-means (HCKM) is one of the remaining fundamental prob...
read it
-
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
In existing visual representation learning tasks, deep convolutional neu...
read it
-
Performance Analysis of Non-Orthogonal Multicast in Two-tier Heterogeneous Networks
With the explosive growth of mobile services, non-orthogonal broadcast/m...
read it
-
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
This paper proposes a new HDP based online review rating regression mode...
read it
-
Siamese Networks for Semantic Pattern Similarity
Semantic Pattern Similarity is an interesting, though not often encounte...
read it
-
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks
In industrial applications, nearly half the failures of motors are cause...
read it
-
Human activity recognition based on time series analysis using U-Net
Traditional human activity recognition (HAR) based on time series adopts...
read it
-
A scale-dependent finite difference method for time fractional derivative relaxation type equations
Fractional derivative relaxation type equations (FREs) including fractio...
read it
-
Targeted Advertising Based on Browsing History
Audience interest, demography, purchase behavior and other possible clas...
read it
-
A Fast Tree Algorithm for Electric Field Calculation in Electrical Discharge Simulations
The simulation of electrical discharges has been attracting a great deal...
read it
-
Schatten-p Quasi-Norm Regularized Matrix Optimization via Iterative Reweighted Singular Value Minimization
In this paper we study general Schatten-p quasi-norm (SPQN) regularized ...
read it
-
Sparse Approximation via Penalty Decomposition Methods
In this paper we consider sparse approximation problems, that is, genera...
read it
-
ℓ_0 Minimization for Wavelet Frame Based Image Restoration
The theory of (tight) wavelet frames has been extensively studied in the...
read it
-
Penalty Decomposition Methods for L0-Norm Minimization
In this paper we consider general l0-norm minimization problems, that is...
read it