Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
3-D integration presents many new opportunities for architects and embedded systems designers. However, 3-D integration has not yet been explored by the cryptographic hardware com...
Jonathan Valamehr, Ted Huffmire, Cynthia E. Irvine...
— A key step in validating a proposed idea or system is to evaluate over a suitable data set. However, to this date there have been no useful tools for researchers to understand ...
Meiyu Lu, Srinivas Bangalore, Graham Cormode, Mari...
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...