We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
We consider the problem of reconstructing the shape of a surface with an arbitrary, spatially varying isotropic bidirectional reflectance distribution function (BRDF), and introdu...
The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and response time requirements has outpaced advan...
Jose Alvin G. Gendrano, Bruce C. Huang, Jim M. Rod...
Many reconfigurable architectures offer partial dynamic configurability, but current system-level tools cannot guarantee feasible implementations when exploiting this feature. We ...
Sudarshan Banerjee, Elaheh Bozorgzadeh, Nikil D. D...
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...