In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
We describe the Protein Subcellular Location Image Database (PSLID), which collects and structures 2-D through 5-D fluorescence microscope images, annotations, and derived feature...
Kai Huang, Jennifer Lin, James A. Gajnak, Robert F...
Iterative methods for image reconstruction in MRI are useful in several applications, including reconstruction from non-Cartesian k-space samples, compensation for magnetic field ...
Analysis of elastic laminae provides vital information on both the gross and fine structures of the arterial wall, which is vital to assess issues such as mechanical damage caused...
Hai Xu, Jin-Jia Hu, Jay D. Humphrey, Jyh-Charn Liu