In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
Recent work [5, 6] showed that learning-based patch
rectification methods are both faster and more reliable than
affine region methods. Unfortunately, their performance improveme...
Stefan Hinterstoisser, Oliver Kutter, Nassir Navab...
We introduce a new class of image features, the Ray feature set, that consider image characteristics
at distant contour points, capturing information which is difficult to repre...
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
This paper presents a simple but robust visual tracking algorithm based on representing the appearances of objects using affine warps of learned linear subspaces of the image spac...