We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
Different types of implementation attacks, like those based on side channel leakage and active fault injection, are often considered as separate threats. Countermeasures are, there...
This paper describes a low-memory cache efficient Hybrid Block Coder (HBC) for images in which an image subband decomposition is partitioned into a combination of spatial blocks a...
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
In this paper, we propose two approaches for combining geometric information with ICA algorithm to solve permutation problem under the scenario where a rough information about the...