The continuous development of wireless networks and mobile devices has motivated an
intense research in mobile data services. Some of these services provide the user with …

Uncertain data have already widely existed in many practical applications recently, such as
sensor networks, RFID networks, location-based services, and mobile object management …

Automatic recovery of 3D human pose from monocular image sequences is a challenging
and important research topic with numerous applications. Although current methods are …

With spatial crowdsourcing (SC), requesters outsource their spatiotemporal tasks (tasks
associated with location and time) to a set of workers, who will perform the tasks by …

摘要随着数据采集和处理技术的进步, 人们对数据的不确定性的认识也逐步深入. 在诸如经济,
军事, 物流, 金融, 电信等领域的具体应用中, 数据的不确定性普遍存在. 不确定性数据的表现形式 …

Uncertain data are usually represented in terms of an uncertainty region over which a
probability density function (pdf) is defined. In the context of uncertain data management …

Querying uncertain data has emerged as an important problem in data management due to
the imprecise nature of many measurement data. In this paper we study answering range …

Internet of Things (IoT) is an increasingly popular technological trend. The operation of IoT
needs a strong data-handling capacity, where most of the data are sensor data. Limitations …

This work addresses the problem of processing continuous nearest neighbor (NN) queries
for moving objects trajectories when the exact position of a given object at a particular time …

The outsourcing of data is becoming increasingly commonplace as data is constantly been
synchronized between user systems (eg, personal computers and sensor devices) and …