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