—Relevance feedback(RF) has been proved to be an effective way to improve the precision and recall of 3D model retrieval. However, the existing RF approaches do not consider whic...
In order to investigate the routing aspects of small-world networks, Kleinberg [13] proposes a network model based on a d-dimensional lattice with long-range links chosen at random...
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
Architectural decisions for DSP modules are often analyzed using high level C models. Such high-level explorations allow early examination of the algorithms and the architectural ...