Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a novel visualization algorithm for high-dimensional time-series data. In contrast to most visualization techniques,  do not assume consecutive data points to be independent. The basic model is a linear dynamical system which can be seen as a dynamic extension of a probabilistic principal component model. A further extension to a particular switching linear dynamical system allows a representation of complex data onto multiple and even a hierarchy of plots. Using sensible approximations based on expectation propagation, the projections can be performed in essentially the same order of complexity as their static counterpart.  apply our method on a real-world data set with sensor readings from a paper machine.
['Onno Zoeter', 'Tom Heskes']
I am writing a research paper on a idea Hierarchical visualization of time-series data using switching linear dynamical systems
[{"from": "human", "value": "I am writing a research paper on a idea Hierarchical visualization of time-series data using switching linear dynamical systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a novel visualization algorithm for high-dimensional time-series data. In contrast to most visualization techniques,  do not assume consecutive data points to be independent. The basic model is a linear dynamical system which can be seen as a dynamic extension of a probabilistic principal component model. A further extension to a particular switching linear dynamical system allows a representation of complex data onto multiple and even a hierarchy of plots. Using sensible approximations based on expectation propagation, the projections can be performed in essentially the same order of complexity as their static counterpart.  apply our method on a real-world data set with sensor readings from a paper machine."}]