The recommendation of appropriate development pathways, also known as
ec...
Automatic speech recognition (ASR) provides diverse audio-to-text servic...
Python has become the most popular programming language as it is friendl...
Liver tumor segmentation and classification are important tasks in compu...
Asymmetric appearance between positive pair effectively reduces the risk...
Spiking silicon cochlea sensors encode sound as an asynchronous stream o...
With the increasing usage of open-source software (OSS) components,
vuln...
The present work concerns the transferability of coarse-grained (CG) mod...
Modeling a high-dimensional Hamiltonian system in reduced dimensions wit...
Nowadays, more and more clinical trials choose combinational agents as t...
Automatic speech recognition (ASR) systems have been widely deployed in
...
Human collaborators can effectively communicate with their partners to f...
Finite mixture model is an important branch of clustering methods and ca...
Clustering is an essential technique for discovering patterns in data. T...
In recent year, the write-heavy applications is more and more prevalent....
One of the main challenges of advancing task-oriented learning such as v...
Relational database management system (RDBMS) is a major undergraduate c...
Natural language interfaces for relational databases have been explored ...
Generative Adversarial Network (GAN) and its variants have recently attr...
Modern software systems are often equipped with hundreds to thousands of...
Complex activity recognition is challenging due to the inherent uncertai...
Multispectral pedestrian detection is essential for around-the-clock
app...
In this paper, we propose a novel visual tracking framework that
intelli...