Boundary descriptors may be used effectively in various image based recognition problems. However, when images are acquired in uncontrolled conditions, changes in pose and illumin...
—As circuits continue to scale to smaller feature sizes, wearout and latent defects are expected to cause an increasing number of errors in the field. Online error detection tec...
Nuno Alves, Y. Shi, N. Imbriglia, Jennifer Dworak,...
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...
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...
Multi-objective metaheuristics have previously been applied to partial classification, where the objective is to produce simple, easy to understand rules that describe subsets of a...