In the present paper, we develop a new goodness-of-fit test for the Birn...
Text recognition methods are gaining rapid development. Some advanced
te...
Automatic bill payment is an important part of business operations in fi...
We present SDTracker, a method that harnesses the potential of synthetic...
We propose a novel framework to reconstruct accurate appearance and geom...
Fault detection and diagnosis is significant for reducing maintenance co...
The traditional variable control charts, such as the X-bar chart, are wi...
Lots of real-time applications over Internet of things (IoT)-based statu...
The parameters of the log-logistic distribution are generally estimated ...
Humans apprehend the world through various sensory modalities, yet langu...
Data-driven predictive methods which can efficiently and accurately tran...
We study the average Age of Information (AoI) and peak AoI (PAoI) of a
d...
Proteins are essential component of human life and their structures are
...
This work studies the average age of information (AoI) of a monitoring s...
Accurate and unbiased examinations of skin lesions are critical for earl...
In this paper, we propose and study neural network based methods for
sol...
The power prior and its variations have been proven to be a useful class...
This paper examines inverse Cauchy problems that are governed by a kind ...
As a promising candidate to complement traditional biometric modalities,...
In Internet of Things (IoT), the decision timeliness of time-sensitive
a...
This paper presents a novel parametric curve-based method for lane detec...
The correlated binomial (CB) distribution was proposed by Luceño
(Comput...
Facial image inpainting is a task of filling visually realistic and
sema...
It is well-known that deep neural networks (DNNs) have shown remarkable
...
Prior plays an important role in providing the plausible constraint on h...
In content-based image retrieval, the first-round retrieval result by si...
Traditional process monitoring methods, such as PCA, PLS, ICA, MD et al....
We propose in this paper a data driven state estimation scheme for gener...
In this paper, we construct a class of Mixed Generalized Multiscale Fini...
Adaptive traffic signal control plays a significant role in the construc...
The Kolmogorov n-width of the solution manifolds of transport-dominated
...
In this paper, we propose a simple and easy-to-implement Bayesian hypoth...
At present, SOILD-STATE Fermentation (SSF) is mainly controlled by artif...
In this note, we revisit the g and h control charts that are commonly
us...
This paper concerns the a priori generalization analysis of the Deep Rit...
In this paper we propose and analyze a second order accurate (in time)
n...
Optimizers that further adjust the scale of gradient, such as Adam, Natu...
With the increasing intelligence and integration, a great number of
two-...
Using second-order optimization methods for training deep neural network...
Echocardiography is a powerful prenatal examination tool for early diagn...
Second-order optimization methods have the ability to accelerate converg...
Human pose and shape recovery is an important task in computer vision an...
This paper presents a new and flexible prognostics framework based on a
...
One of the key enablers of future wireless communications is constituted...
When the experimental data set is contaminated, we usually employ robust...
Based on the median and the median absolute deviation estimators, and th...
Large size models are implemented in recently ASR system to deal with co...
The objective of this paper is to design novel multi-layer neural networ...
In this paper, we propose a two-stage depth ranking based method (DRPose...
Swarm systems consist of large numbers of robots that collaborate
autono...