Measurement, collection, and interpretation of network usage data commonly involves multiple stage of sampling and aggregation. Examples include sampling packets, aggregating them...
Edith Cohen, Nick G. Duffield, Carsten Lund, Mikke...
Continuous technology scaling has brought us to a point, where transistors have become extremely susceptible to cosmic radiation strikes, or soft errors. Inside the processor, cac...
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...