Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that descri...
This paper presents a lossless data hiding algorithm for medical images, where we embed the patient information into the segmented liver region of the CT image. This algorithm uti...
Many end user programming tools lack adequate support for domain-specific data. We will design a lightweight representation for categories of data, called “topes,” and develop...
: Quality early warning and proactive customer churn detection are two examples of applications that can benefit from insights gained from unstructured text data. The term “Unstr...
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decompos...