We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
Two-dimensional (2-D) plots in digital documents contain important information. Often, the results of scientific experiments and performance of businesses are summarized using pl...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
Gait has received much attention from researchers in the vision field due to its utility in walker identification. One of the key issues in gait recognition is how to extract di...
This workshop provides a forum for an overview, project presentations, and discussion of the research fostered and funded initially by the NSF Next Generation Software (NGS) Progr...
Genomics is an important emerging scientific field that relies on meaningful data visualization as a key step in analysis. Specifically, most investigation of gene expression micr...
Matthew A. Hibbs, Grant Wallace, Maitreya J. Dunha...