For (3), classification can be performed if you have an unlabeled class from both distributions and one labeled class. Here is an example: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05460897 (1) usually…
EDIT: Sorry for the wall of text. Also, why your idea is good: Consider a person going from "sitting" to "jogging". When the change point occurs, the reading on the accelerometer will be high for a short period (in the…
Some random thoughts (I hope this is useful) The article and your research are quite interesting. I am currently interested in the similar things (more from the theoretical side than practical application side). You say…
For (3), classification can be performed if you have an unlabeled class from both distributions and one labeled class. Here is an example: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05460897 (1) usually…
EDIT: Sorry for the wall of text. Also, why your idea is good: Consider a person going from "sitting" to "jogging". When the change point occurs, the reading on the accelerometer will be high for a short period (in the…
Some random thoughts (I hope this is useful) The article and your research are quite interesting. I am currently interested in the similar things (more from the theoretical side than practical application side). You say…