Smart watches and other wearable devices are equipped with
photoplethysm...
Photoplethysmography (PPG) provides a low-cost, non-invasive method to
c...
The rapid development of online recruitment services has encouraged the
...
Preference-based reinforcement learning (PbRL) provides a natural way to...
Offline-to-online reinforcement learning (RL), by combining the benefits...
For grasp network algorithms, generating grasp datasets for a large numb...
We investigate how to efficiently compute the difference result of two (...
In this paper, we propose an iterative source error correction (ISEC)
de...
Reward function is essential in reinforcement learning (RL), serving as ...
We revisit the classical change propagation framework for query evaluati...
Object detectors are vital to many modern computer vision applications.
...
Computer vision is often performed using Convolutional Neural Networks
(...
Join query evaluation with ordering is a fundamental data processing tas...
Computer vision on low-power edge devices enables applications including...
In this paper, we investigate space-time tradeoffs for answering boolean...
Low-power computer vision on embedded devices has many applications. Thi...
This paper considers enumerating answers to similarity-join queries unde...
We investigate the enumeration of query results for an important subset ...
We investigate the computational complexity of minimizing the source
sid...
Most of the prior work in massively parallel data processing assumes
hom...
COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" pol...
In the last few years, much effort has been devoted to developing join
a...
Cross-modality person re-identification is a challenging problem which
r...
Computer vision has achieved impressive progress in recent years. Meanwh...
Massively parallel join algorithms have received much attention in recen...
Digital platforms enable the observation of learning behaviors through
f...