UMBC ebiquity
Masters Thesis Research Update - Amey and Nikhil
by Amey Sane
Tuesday, December 13, 2011, 10:30am - Tuesday, December 13, 2011, 11:30am
ITE 325-B
In this week's lab meeting, Amey Sane and Nikhil Puranik will give an update on how their Masters thesis research is progressing.
Amey will talk on "Exploring Hidden Markov Model for semantic activity prediction".
Smart devices like mobile phones can effectively be exploited for use, not only as a mode of contact through voice dialing but much more than that, by making use of its features like Bluetooth, Wi-Fi capability and also through its in-built sensor capability. All these can prove to be effective in getting a notion of user context in terms of his current conceptual location (at home, at work or elsewhere) and activity(working, walking, attending meeting, exercising). Our research will focus on building a Hidden Markov Model for modeling and predicting User Activities"
Nikhil will talk about his thesis on "A multiclass classification approach for labeling of Numeric and alphanumeric data".
The internet comprises of millions of tables out of which many contain numerical data(labeled and unlabeled). For complete utilization of this vast repository of information, it is important to understand to which class these numbers belong to. My work deals with the problem of classification of unlabelled data using supervised multiclass classification.
Amey will talk on "Exploring Hidden Markov Model for semantic activity prediction".
Smart devices like mobile phones can effectively be exploited for use, not only as a mode of contact through voice dialing but much more than that, by making use of its features like Bluetooth, Wi-Fi capability and also through its in-built sensor capability. All these can prove to be effective in getting a notion of user context in terms of his current conceptual location (at home, at work or elsewhere) and activity(working, walking, attending meeting, exercising). Our research will focus on building a Hidden Markov Model for modeling and predicting User Activities"
Nikhil will talk about his thesis on "A multiclass classification approach for labeling of Numeric and alphanumeric data".
The internet comprises of millions of tables out of which many contain numerical data(labeled and unlabeled). For complete utilization of this vast repository of information, it is important to understand to which class these numbers belong to. My work deals with the problem of classification of unlabelled data using supervised multiclass classification.