A Gaussian mixture model-based continuous boundary detection for 3D sensor networks

Sensors

Volumn 10, Issue 8, 2010, Pages 7632-7650

  Chen, Jiehui ^a   Salim, Mariam B ^a   Matsumoto, Mitsuji ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

3D sensor network; Continuous boundary detection; Gaussian mixture model

Indexed keywords

3D SENSOR NETWORKS; AVERAGE RESIDUAL ENERGY; BOUNDARY DETECTION; FINITE MIXTURE MODELS; GAUSSIAN MIXTURE MODEL; IMPLEMENTATION COST; MODEL SELECTION TECHNIQUES; TRANSMISSION RANGES;

IMAGE SEGMENTATION; SENSOR NETWORKS; SENSOR NODES;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER NETWORK; COMPUTER SIMULATION; INSTRUMENTATION; METHODOLOGY; NORMAL DISTRIBUTION; THEORETICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; COMPUTER COMMUNICATION NETWORKS; COMPUTER SIMULATION; IMAGING, THREE-DIMENSIONAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED;

EID: 77957225585     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s100807632     Document Type: Article

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