Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
Deterministic observation and random excitation of fault sites during the ATPG process dramatically reduces the overall defective part level. However, multiple observations of eac...
Sooryong Lee, Brad Cobb, Jennifer Dworak, Michael ...
In this paper, we present an approach to synthesize multiple behavior modules. Given n DFGs to be implemented, the previous methods scheduled each of them sequentially, and implem...
Ju Hwan Yi, Hoon Choi, In-Cheol Park, Seung Ho Hwa...
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
We present a novel approach for robust localization of multiple people observed using multiple cameras. We use this location information to generate sports visualizations, which i...