Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Debora...