Vision-based person, hand or face detection approaches have achieved incredible success in recent years with the development of deep convolutional ne…
Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most succe…
Anonymous voting is a voting method of hiding the link between a vote and a voter, the context of which ranges from governmental elections to decisio…
Matrix factorization (MF) is extensively used to mine the user preference from explicit ratings in recommender systems. However, the reliability of e…
Mobile crowdsourced sensing (MCS) is a new paradigm which takes advantage of the pervasive smartphones to efficiently collect data, enabling numerous…
The performances of the fifth generation (5G) wireless communication systems are significantly affected by edge cache and transport network. These em…
Driven by graphics processing units (GPUs), massive amounts of annotated data and more advanced algorithms, deep learning has recently taken the comp…
Massive connectivity and low latency are two important challenges for the Internet of Things (IoT) to achieve the Quality of Service (QoS) provisions…
Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be integrated into future cellular networks as new aerial mobile users. Providing …
Chimera states, which consist of coexisting domains of spatially coherent and incoherent dynamics, have been widely found in nonlocally coupled oscil…
The performance of face detectors has been largely improved with the development of convolutional neural network. However, it remains challenging for…
An energy cooperation policy for energy harvesting wireless sensor networks (WSNs) with wireless power transfer is proposed in this paper to balance …
As a key technique for enabling artificial intelligence, machine learning (ML) has been shown to be capable of solving complex problems without expli…
Sparse subspace clustering (SSC) is a state-of-the-art method for segmenting a set of data points drawn from a union of subspaces into their respecti…
Personalized recommendation attracts a surge of interdisciplinary researches. Especially, similarity based methods in applications of real recommenda…
In image-grounded text generation, fine-grained representations of the image are considered to be of paramount importance. Most of the current system…
In this paper, we investigate noncoherent multiple-input multiple-output (MIMO) ultra-wideband (UWB) systems where the signal is encoded by different…
In this paper, the problem of resource management is studied for a network of wireless virtual reality (VR) users communicating over heterogeneous sm…
In cloud radio access networks (C-RANs), a substantial amount of data must be exchanged in both backhaul and fronthaul links, which causes high power…
This paper proposes a belief propagation (BP) message passing algorithm based joint multiple symbol differential detection (MSDD) and channel decodin…
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