This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar C...
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
Abstract--Recently, Lee et al. proposed a Remote Authentication Model of Information Appliances (RAMIA). Unfortunately, RAMIA has a fatal error that opens the entire home network o...
Experimental data validating some of the proposed parallel computation models on the Intel Paragon is presented. This architecture is characterized by a large bandwidth and a rela...
Abstract { This paper presents a parallel algorithm for solving the region growing problem based on the split and merge approach. The algorithm was implemented on the CM-2 and the ...
Nawal Copty, Sanjay Ranka, Geoffrey Fox, Ravi V. S...