There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
Buffer overflow detection using static analysis can provide a powerful tool for software ers to find difficult bugs in C programs. Sound static analysis based on abstract interpre...
Youil Kim, Jooyong Lee, Hwansoo Han, Kwang-Moo Cho...
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Text Summarisation....
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...