The need to search for complex and recurring patterns in database sequences is shared by many applications. In this paper, we discuss how to express and support efficiently sophis...
Reza Sadri, Carlo Zaniolo, Amir M. Zarkesh, Jafar ...
We propose a robust face alignment algorithm with a novel discriminative local texture model. Different from the conventional descriptive PCA local texture model in ASM, classifie...
Li Zhang, Haizhou Ai, Shengjun Xin, Chang Huang, S...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
The paper presents an approach to process scheduling for embedded systems. Target architectures consist of several processors and ASICs connected by shared busses. We have develop...
Petru Eles, Krzysztof Kuchcinski, Zebo Peng, Alexa...