Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Subspace segmentation is the task of segmenting data
lying on multiple linear subspaces. Its applications in
computer vision include motion segmentation in video,
structure-from...
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
s: An Abstraction for Data Intensive Computing on Campus Grids Christopher Moretti, Hoang Bui, Karen Hollingsworth, Brandon Rich, Patrick Flynn, and Douglas Thain Department of Com...
Christopher Moretti, Hoang Bui, Karen Hollingswort...