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We present an intensity neighborhood-based system for segmenting arbitrary biomedical image datasets using supervised learning. Because neighborhood methods are often associated with high-dimensional feature vectors, we explore a Principal Component Analysis (PCA) based method to reduce the dimensionality (and provide computational savings) of each neighborhood. Our results show that the system can...
This paper presents a preliminary study of the chaotic behavior of servo-flap mid-span bending of a four-blade helicopter during hover, low and high-speed forward flights. The servo-flap vibratory measurement was used to create state vectors in a multidimensional space through time-delay embedding, and the trajectory of state vectors in the reconstruction state space was quantified using the correlation...
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