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The clustering of categorical data faces a series of challenges: full space based, sensitive to the sequence of input data and susceptible to the input parameters, any one of them can greatly affect the result. For those problems, we put forward a novel subspace clustering method based on data cohesion model (SCDCM). Inspired by the law of universal gravitation, we consider the clustering problems...
Motion capture (mocap) technology is widely used in various applications. The acquired mocap data usually has missing data due to occlusions or ambiguities. Therefore, restoring the missing entries of the mocap data is a fundamental issue in mocap data analysis. Based on jointly low-rank matrix completion, this paper presents a practical and highly efficient algorithm for restoring the missing mocap...
A distributed antenna system (DAS) architecture is believed to be able to enhance capacity performance of Cloud Radio Access Networks (C-RAN), especially for users near the cell boundary who experience low Signal-Noise-Ratio (SNR). However, the problem of finding the analytical bounds on the capacity of DAS with the rising number of antennas in low SNR rigime has not been fully studied. In this paper,...
Indoor positioning in wireless local area network (WLAN) has been attracting increasing attentions for its cost effectiveness and reasonable positioning accuracy. Existing positioning methods all pay attention to establish more accurate relationship between received signal strength (RSS) and physical locations. However, the deployment of access points (APs) is ignored. This paper proposes an optimized...
Design and optimization of microwave passive components is one of the most critical problems for RF IC designers. However, the state-of-the-art methods either have good efficiency but highly depend on the accuracy of the equivalent circuit models, which may fail the synthesis when the frequency is high; or fully depend on electromagnetic (EM) simulations, whose solution quality is high but are too...
Binocular measurement system has a wide range of applications and becomes a hot research direction in recent years. Traditional feature extraction and matching methods limit its accuracy and robustness. In this paper, we propose a new method of binocular depth measurement based on speed up robust feature (SURF). Firstly, we extract SURF feature points from object original image as a standard feature...
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