Learn More
Clustering nodes in a graph is a useful general technique in data mining of large network data sets. In this context, Newman and Girvan [9] recently proposed an objective function for graph clustering called the Q function which allows automatic selection of the number of clusters. Empirically, higher values of the Q function have been shown to correlate(More)
Brain morphometric studies often incorporate comparative hemispheric asymmetry analyses of segmented brain structures. In this work, we present evidence that common user guided structural segmentation techniques exhibit strong left-right asymmetric biases and thus fundamentally influence any left-right asymmetry analyses. In this study, MRI scans from ten(More)
We propose a model for network formation and study some of its statistical properties. The motivation for the model comes from the growth of several kinds of real networks (i.e., kinship and trading networks, networks of corporate alliances, networks of autocatalytic chemical reactions). These networks grow either by establishing closer connections by(More)
— An out-of-order, three-way superscalar x86 microprocessor with a 15-stage pipeline, organized to allow 600-MHz operation, can fetch, decode, and retire up to three x86 instructions per cycle to independent integer and floating-point schedulers. The schedulers can simultaneously dispatch up to nine operations to seven integer and three floating-point(More)
With the recent results of promising cancer vaccines and immunotherapy1-5, immune monitoring has become increasingly relevant for measuring treatment-induced effects on T cells, and an essential tool for shedding light on the mechanisms responsible for a successful treatment. Flow cytometry is the canonical multi-parameter assay for the fine(More)
The Domino system was SAIC's student-intern entry to the English Entity-Linking track of the 2012 TAC-KBP competition. This paper describes how Domino was developed using components from the CUNY-BLENDER system and discusses the features and rules that were added to Domino. It analyzes Domino's performance, and suggests ways in which we plan to improve the(More)