Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Abstract. This paper introduces the notion of finite precision timed automata (FPTAs) and proposes a data structure to represent its symbolic states. To reduce the state space, FP...
We present a surface compression method that stores surfaces as wavelet-compressed signed-distance volumes. Our approach enables the representation of surfaces with complex topolo...
Daniel E. Laney, Martin Bertram, Mark A. Duchainea...
This paper addresses the recovery and the rollback problem in distributed collaborative transactions. We propose a solution to the problem in a generalized ARIES [9] framework. We...