This paper outlines a technique for treating input texture images as probability density estimators from which new textures, with similar appearance and structural properties, can...
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
Homologousproteins do not necessarily exhibit identical biochemicalfunction. Despitethis fact, local or global sequence similarity is widely used as an indication of functional id...