In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...
Abstract. This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view ima...
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
We present an approach to visual tracking based on dividing a
target into multiple regions, or fragments. The target is represented
by a Gaussian mixture model in a joint feature...