research
∙
08/03/2023
Probabilistic Deep Supervision Network: A Noise-Resilient Approach for QoS Prediction
Quality of Service (QoS) prediction is an essential task in recommendati...
share
research
∙
06/01/2023
Deformable Convolutions and LSTM-based Flexible Event Frame Fusion Network for Motion Deblurring
Event cameras differ from conventional RGB cameras in that they produce ...
research
∙
05/30/2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
With the growing popularity of various mobile devices, user targeting ha...
research
∙
03/26/2023
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture
Because multimodal data contains more modal information, multimodal sent...
research
∙
01/10/2023
Secure Communication for Spatially Correlated Massive MIMO with Low-Resolution DACs
In this paper, the performance of a secure massive multiple-input multip...
research
∙
01/09/2023
Secure Communication for Spatially Correlated RIS-Aided Multiuser Massive MIMO Systems: Analysis and Optimization
This letter investigates the secure communication in a reconfigurable in...
research
∙
03/31/2022
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Automatic image-based pavement distress detection and recognition are vi...
research
∙
11/25/2021
Network regression and supervised centrality estimation
The centrality in a network is a popular metric for agents' network posi...
research
∙
06/28/2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Data augmentation is a powerful technique for improving the performance ...
research
∙
04/02/2021
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
Plot-based Graphic API recommendation (Plot2API) is an unstudied but mea...
research
∙
01/20/2021
Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring
Quality-relevant fault detection plays an important role in industrial p...
research
∙
06/30/2020
Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data
Estimation of the covariance matrix of asset returns is crucial to portf...
research
∙
06/04/2020
Tensor Factor Model Estimation by Iterative Projection
Tensor time series, which is a time series consisting of tensorial obser...
research
∙
05/18/2019
Factor Models for High-Dimensional Tensor Time Series
Large tensor (multi-dimensional array) data are now routinely collected ...
research
∙
12/21/2018
Autoregressive Models for Matrix-Valued Time Series
In finance, economics and many other fields, observations in a matrix fo...
research
∙
03/14/2016
Regression-based Hypergraph Learning for Image Clustering and Classification
Inspired by the recently remarkable successes of Sparse Representation (...
research
∙
03/19/2015
Learning Hypergraph-regularized Attribute Predictors
We present a novel attribute learning framework named Hypergraph-based A...
research
∙
10/24/2014
On The Effect of Hyperedge Weights On Hypergraph Learning
Hypergraph is a powerful representation in several computer vision, mach...
research
∙
08/26/2014
Sparse Graph-based Transduction for Image Classification
Motivated by the remarkable successes of Graph-based Transduction (GT) a...
research
∙
12/28/2013
Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition
We present a novel Discriminant Locality Preserving Projections (DLPP) a...
research
∙
12/28/2013
Shape Primitive Histogram: A Novel Low-Level Face Representation for Face Recognition
We further exploit the representational power of Haar wavelet and presen...
research
∙
11/06/2013
