The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Edge detection is the basic operation in the image processing and analysis. Multiresolution Sequential Edge Linking (MSEL), which is proposed by Edward J.Delp of Purdue University...
Huiguang He, Jie Tian, Jing Wang, Hong Chen, X. P....
— Given the recent wave of innovation and diversification in digital signal processor (DSP) architecture, the need for quickly evaluating the true potential of considered archite...
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...