Learning a high-performance trade execution model via reinforcement learning (RL) requires interaction with the real dynamic market. However, the massive interactions required by direct RL would result in a significant training overhead. In this paper, ...

Person search is an integrated task of multiple sub-tasks such as foreground/background classification, bounding box regression and person re-identification. Therefore, person search is a typical multi-task learning problem, especially when solved in an ...

Recent works show the possibility of transferring the CLIP (Contrastive Language-Image Pretraining) model for video-text retrieval with promising performance. However, due to the domain gap between static images and videos, CLIP-based video-text ...

Hybrid memory systems comprising DRAM and Non-Volatile Memory (NVM) have gained ever-increasing attention for building large-capacity and energy-efficiency main memory. Nevertheless, there remain challenges to best utilize them because of the ...

The presence or absence of one item in a recommendation list will affect the demand for other items because customers are often willing to switch to other items if their most preferred items are not available. The cross-item influence, called “peers ...

Crowdsourcing and data mining can be used to effectively reduce the effort associated with the partial replication and enhancement of qualitative studies.

For example, in a primary study, other researchers explored factors influencing the fate of GitHub ...

According to psychological scientists, humans understand models that most match their own internal models, which they characterize as lists of "heuristic"s (i.e. lists of very succinct rules). One such heuristic rule generator is the Fast-and-Frugal ...

Split Delivery Vehicle Routing Problem with 3D Loading Constraints (3L-SDVRP) can be seen as the most important problem in large-scale manufacturing logistics. The goal is to devise a strategy consisting of three NP-hard planning components: vehicle ...

We present EDITalk, a novel voice-based, eyes-free word processing interface. We used a Wizard-of-Oz elicitation study to investigate the viability of eyes-free word processing in the mobile context and to elicit user requirements for such scenarios. ...

Crowd simulation is often used as a crucial tool to analyse crowd behaviours. Ideally, when analysing live video streams, we would like the simulator to be able to run concurrently. However, crowd video analytics algorithms are usually not able to ...

We study the problem of estimating distinct elements in the data stream model, which has a central role in traffic monitoring, query optimization, data mining and data integration. Different from all previous work, we study the problem in the noisy data ...

Massive open online course is now a popular choice for online learners. There are many MOOC platforms all over the world. They provide multiple variants of MOOC. Traditionally, students learn by watching videos and doing online quizzes. Course forum is ...

Set reconciliation is a fundamental problem in distributed databases, where two parties each holding a set of elements wish to find their difference, so as to establish data consistency. Efficient algorithms exist for this problem with communication ...