Title :
Ambiguity detection by fusion and conformity: a spectral clustering approach
Author_Institution :
Mitsubishi Electr. Res. Labs., Cambridge, MA, USA
fDate :
April 18-21, 2005
Keywords :
feature extraction; hidden Markov models; image representation; object detection; pattern classification; pattern clustering; sensor fusion; time series; HMM; affinity matrix; ambiguity detection; aspect ratio; conformity; eigenvector decomposition; event detection; fusion method; hidden Markov models; object location; object orientation; object size; object speed; object-wise feature; pair-wise similarity scores; spectral clustering approach; time-wise feature; Assembly; Character generation; Clustering algorithms; Discrete event simulation; Event detection; Hidden Markov models; Histograms; Laboratories; Matrix decomposition; USA Councils;
Conference_Titel :
Integration of Knowledge Intensive Multi-Agent Systems, 2005. International Conference on
Print_ISBN :
0-7803-9013-X
DOI :
10.1109/KIMAS.2005.1427110