We describe methods of representing topography at a range of scales using measures of roughness based on digital elevation data, and combine the resulting maps with satellite imagery and ground observations to reconstruct features of the wider landscape as they existed at the time of hominin occupation and activity.
Three-dimensional (3D) embedded cell cultures provide an appropriate physiological environment to reconstruct features of early glandular epithelial cancer.
By observing the nested structure of significant up- or down-regulations of affected genes, this allows to reconstruct features of the upstream signaling pathway (Boutros et al., 2002).
Third, a weighted-Viterbi decoding method is applied to the recogniser itself, which modifies the contribution of the reconstructed feature vectors according to the accuracy of their reconstruction.
To check whether reconstructed feature vectors are close to the original PCA feature vectors or not, we include face verification results of PCA vectors, (i.e., reconstructed feature vector is compared to corresponding original feature vector).
The attack performance of the reconstructed feature vectors from biohashes of 1024-bits can be compared among different methods.
Authentication performance of the reconstructed feature vectors in a conventional verification setup, in which the plain features are used for matching, is also investigated.
A critical implication of the reversibility of biohashes is the relation between the reconstructed feature vectors and the original biometric information (face) of the users.
Each of these bases offers a particular way of coding signals, preserving global energy and reconstructing exact features.
This has not only been necessary to help increase image contrast and improve imaging speed on a larger scale, but also to help computer vision research produce assisted segmentation approaches for reconstructing different features.
