Large-scale software development requires coordination within and between very large engineering teams, each of which may be located in different locations and time zones. Numerou...
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Exploiting features of high density wireless sensor networks represents a challenging issue. In this work, the training of a sensor network which consists of anonymous and asynchro...
Francesco Betti Sorbelli, Roberto Ciotti, Alfredo ...
MapReduce has been prevalent for running data-parallel applications. By hiding other non-functionality parts such as parallelism, fault tolerance and load balance from programmers,...
Shengkai Zhu, Zhiwei Xiao, Haibo Chen, Rong Chen, ...
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...