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» Structural Learning of Activities from Sparse Datasets
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INFSOF
2007
74views more  INFSOF 2007»
13 years 8 months ago
Software process improvement as emergent change: A structurational analysis
This paper presents a framework that draws on Structuration theory and dialectical hermeneutics to explicate the dynamics of software process improvement (SPI) in a packaged softw...
I. Allison, Yasmin Merali
ECCV
2006
Springer
14 years 15 days ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
ACSAC
2008
IEEE
14 years 3 months ago
Structuring for Strategic Cyber Defense: A Cyber Manhattan Project Blueprint
In February 2002, more than 50 leaders in the information assurance field warned the President of the United States of a national strategic vulnerability in the country’s inform...
O. Sami Saydjari
BMCBI
2010
174views more  BMCBI 2010»
13 years 9 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
MCS
2009
Springer
14 years 3 months ago
A Study of Semi-supervised Generative Ensembles
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...
Manuela Zanda, Gavin Brown