In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Cha...
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extracti...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, O...
Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localize...