In this paper, we present a novel framework for efficient multiple reflectional symmetric regions detection in real images. First, we present a fast operator to measure the symmetr...
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Many practical applications generate irregular, nonbalanced divide-and-conquer trees which have different depths, possibly also different numbers of successors at different levels...
Temporal partitioning techniques are useful to implement large and complex applications, which can be split into partitions in FPGA devices. In order to minimize resources, each o...