s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...
Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki,...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
We present a novel method for modeling dynamic visual
phenomena, which consists of two key aspects. First, the in-
tegral motion of constituent elements in a dynamic scene is
ca...
For most iris capturing scenarios, captured iris images
could easily blur when the user is out of the depth of field
(DOF) of the camera, or when he or she is moving. The
common...
Xinyu Huang (University of Kentucky), Liu Ren (Rob...