The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
We present a novel problem of searching for `familiar strangers' in a social network. Familiar strangers are individuals who are not directly connected but exhibit some simil...
Much research has focused on the impact of analogies in insight problem solving, but less work has investigated how the visual analogies for insight are actually constructed. Thus...
Discriminative confidence estimation along with confidence normalisation have been shown to construct robust decision maker modules in spoken term detection (STD) systems. Discrim...
Javier Tejedor, Doroteo Torre Toledano, Miguel Bau...
In this work, we investigate how illuminant estimation can be performed exploiting the color statistics extracted from the faces automatically detected in the image. The proposed ...