This work presents a new approach to contour representation and coding. It consists of an improved fitting of high-degree (4th to 18th ) implicit polynomials (IPs) to the contour,...
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Research has been active in thefield offorgeiy detection, but relatively little work has been done on the detection of skilled forgeries. In thispaper, we present an algorithmfor ...
Jinhong Katherine Guo, David S. Doermann, Azriel R...
A major challenge for face recognition algorithms lies in the variance faces undergo while changing pose. This problem is typically addressed by building view dependent models bas...
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-processing, are considered. The filters used are Laws' masks, filters deriv...
Simona E. Grigorescu, Nicolai Petkov, Peter Kruizi...