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Multi-source spatial point data prediction is crucial in fields like environmental monitoring and natural resource management, where integrating data from various sensors is the key to achieving a holistic environmental understanding. Existing models in ...

• From a traditional perspective, an unsupervised spatial self-similarity difference method is proposed.
• The detection results are proved to be feasible using multi-source datasets.
• It effectively avoids the effect of noise and fully ...

Multi-source heterogeneous change detection has been widely used in dynamic disaster monitoring, land cover updating, etc. Various methods have been proposed to make heterogeneous data comparable. However, heterogeneous images are difficult to ...

The user feedback data such as likes, dislikes, comments on movie trailers posted on YouTube can be a useful information source for movie recommender systems. In this paper, we study the effect of adding the feedback data on trailers as a type of the ...

In this paper, we consider the problem of optimizing the freshness of status updates that are sent from a large number of low-power source nodes to a common access point. The source nodes utilize carrier sensing to reduce collisions and adopt an ...

We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in recent years. MNMT has been useful in improving translation quality as a result of translation knowledge transfer (transfer learning). MNMT is ...

The significant popularity of HTTP adaptive video streaming (HAS), such as Dynamic Adaptive Streaming over HTTP (DASH), over the Internet has led to a stark increase in user expectations in terms of video quality and delivery robustness. This situation ...

With the rapid development of Online Social Networks (OSNs), it is crucial to construct users' portraits from their dynamic behaviors to address the increasing needs for customized information services. Previous work on user attribute inference mainly ...

Name authority is a common issue in digital library. This paper mainly summarizes the practice of constructing name authority database based on multi-source data in NSTL. Firstly, we load, integrate different source data and convert them into unified ...

In surveillance applications, humans and vehicles are the most important common elements studied. In consequence, detecting and matching a person or a car that appears on several videos is a key problem. Many algorithms have been introduced and nowadays,...

We investigate the self-localization problem of an ad-hoc network of randomly distributed and independent devices in an open-space environment with low reverberation but heavy noise (e.g. smartphones recording videos of an outdoor event). Assuming a ...

Today, most devices have multiple network interfaces. Coupled with wide-spread replication of popular content at multiple locations, this provides substantial path diversity in the Internet. We propose Multi-source Multipath HTTP, mHTTP, which takes ...

With the advances and increasing sophistication in data collection techniques, we are facing with large amounts of data collected from multiple heterogeneous sources in many applications. For example, in the study of Alzheimer's Disease (AD), different ...

Cross-domain recommendations are currently available in closed, proprietary social networking ecosystems such as Facebook, Twitter and Google+. I propose an open framework as an alternative, which enables cross-domain recommendations with domain-...

Streaming consists in distributing media to large audiences over a computer network. Providing a streaming service for wireless mobile nodes presents many challenges. A peer-to-peer (P2P) solution has the big advantage of seamlessly scaling to arbitrary ...

Many Internet streaming applications, such as distributed surveillance, multimedia webcasting and video thumbnails for Internet TV channel browsing, require video mixers where streams are aggregated as a single stream before presenting to users. We ...

This paper studies the problem of optimizing skyline queries with respect to multiple sources in the multidimensional space (MDMS skyline). It is challenging to process such kinds of queries efficiently due to the difficulties arising from both multi-...

A novel super resolution method for enhancing the resolution of mammogram images based on statistical moment analysis (SMA) has been designed and implemented. The proposed SMA method enables high resolution mammogram images to be produced at lower ...

It has been proven that network coding can provide significant benefits to network protocols. However, network coding is very vulnerable to pollution attacks. In recent years, many schemes have been designed to defend against these attacks, but as far ...

Nowadays, one of the reasons for the lack of legal sanctions taken against attackers is that the collection and analysis of forensic evidence is very troublesome and time-consuming. There are many research results about events correlation but not ...

At present, most color transfer algorithms are based on single source image, failing to meet reference color demand of object image. This paper proposes a Multi-source Color Transfer algorithm based on Multi-labeled Decision Tree. At first, we define an ...