In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
Abstract. This paper shows that we can take advantage of information about the probabilities of the occurrences of events, when this information is available, to refine the classic...
Throughput servers using simultaneous multithreaded (SMT) processors are becoming an important paradigm with products such as Sun's Niagara and IBM Power5. Unfortunately, thr...
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction ...