Quality of Service (QoS) prediction is an essential task in recommendati...
Event cameras differ from conventional RGB cameras in that they produce
...
With the growing popularity of various mobile devices, user targeting ha...
Because multimodal data contains more modal information, multimodal sent...
In this paper, the performance of a secure massive multiple-input
multip...
This letter investigates the secure communication in a reconfigurable
in...
Automatic image-based pavement distress detection and recognition are vi...
The centrality in a network is a popular metric for agents' network posi...
Data augmentation is a powerful technique for improving the performance ...
Plot-based Graphic API recommendation (Plot2API) is an unstudied but
mea...
Quality-relevant fault detection plays an important role in industrial
p...
Estimation of the covariance matrix of asset returns is crucial to portf...
Tensor time series, which is a time series consisting of tensorial
obser...
Large tensor (multi-dimensional array) data are now routinely collected ...
In finance, economics and many other fields, observations in a matrix fo...
Inspired by the recently remarkable successes of Sparse Representation (...
We present a novel attribute learning framework named Hypergraph-based
A...
Hypergraph is a powerful representation in several computer vision, mach...
Motivated by the remarkable successes of Graph-based Transduction (GT) a...
We present a novel Discriminant Locality Preserving Projections (DLPP)
a...
We further exploit the representational power of Haar wavelet and presen...
We present an improved Locality Preserving Projections (LPP) method, nam...