Then we propose a modified distance measure by integrating the SAX distance with a weighted trend distance.
This modified distance measure shows very good results for the considered problem.
While the modified distance metric defined in (10) allows for affine view invariance and homography transformations that are close to affinity, the distance metric does not extend gracefully for large changes in view.
This is compared against the parameters of the training sequences for the various activities using the modified distance metric of (11). Figure 11 Activity recognition results over a sequence involving a single human performing various activities.
He will try to "put into context," modify, distance himself from -- even disavow -- his previous "toxic stew of hatred and insecurity".
The modified distance matrix within a subgroup is interpreted as the true additive distance matrix (core set) achieved by minimal modification of the original distances.
All the independent variables benefit, in varying degrees, from the modified distance model.
In order to solve these problems, we employ a priori statistical feature to modify distance regularity level set as well as confirming an optimal initial level set.
The proposed method effectively incorporates a priori statistical feature of intensity distribution and a modified distance regularized level set (MDRLS) method to extract object organs from CT image.
Based on a priori shape of previous slice, an optimal level set contour is generated for the modified distance regularized level set.
The main contributions of this paper are as follows: a priori knowledge is effectively used to guide the determination of objects and a modified distance regularization level set method can accurately extract actual contour of object in a short time.
