The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
We establish the multipath model which encompasses the target and its multipath “ghosts” in urban and through-thewall synthetic aperture radar (SAR). The focused downrange and...
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Fault localization helps spotting faults in source code by exploiting automatically collected data. Deviating from other fault locators relying on hit spectra or test coverage inf...