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The subsequences between the change points are processed to find their Activity Areas (AA) and Activity History Areas (AHA) that are used for activity recognition.
Our goal is to examine if it can detect the change-points as well as take advantage of the samples that come from cell types with identical structure between the change points.
In model 2, β1 j and β2 j are the log relative hazards (moderate vs. low exposure, and high vs. low exposure, respectively), for the jth period of follow-up (t j−1, t j], defined as between the change points at time τ j−1 and τ j, with τ0 = 0 and τ p+1 = 60 months from September 11 , 2001 and the time variable t ik defined similarly.
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The main strategy of many segmentation methods is to identify the change points, and then estimate the mean CN levels between change points.
Taking runoff before the abrupt change point as the baseline, the difference between the runoff after the change point and the baseline includes two parts, human-induced runoff change and climate-induced runoff change.
(6) False alarms are removed: if motion characteristics of successive subsequences are similar, those subsequences are merged and the change point between them is deleted.
The change point detection between speech and non-speech is estimated by the phoneme recognition using the trained HMM/GMM model.
1 The robust features which are mentioned above are extracted for representing each frame. 2 The change point detection between speech and non-speech is estimated by the phoneme recognition using the trained HMM/GMM model.
The correlation between the slope before and after the change point decline was −0.54, a value that suggests that individuals whose rate of change before the onset of terminal decline is positive decline faster once the terminal decline phase started.
For those cases, each activity area is examined separately: the resulting change points for the two activity areas coincide, and the motion characteristics between these change points are the same, so these areas are (correctly) assigned to the same activity.
After the change detection step, the data in each subsequence between the detected change points is processed for more detailed analysis of the activity in it.
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