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JMLR
2010
218views more  JMLR 2010»
15 years 1 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
179
Voted
JMLR
2010
159views more  JMLR 2010»
15 years 1 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
ICASSP
2011
IEEE
14 years 10 months ago
Dictionary learning of convolved signals
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
Daniele Barchiesi, Mark D. Plumbley
213
Voted
GI
2005
Springer
16 years 12 days ago
Automated Quality Assurance for UML Models
Abstract: Model based development, like proposed by the OMG’s Model Driven Arre (MDA), aims to raise the level of abstraction from working on the code to working with models. For...
Tilman Seifert, Florian Jug, Günther Rackl
172
Voted
CSCW
2006
ACM
16 years 25 days ago
Interruptions on software teams: a comparison of paired and solo programmers
This study explores interruption patterns among software developers who program in pairs versus those who program solo. Ethnographic observations indicate that interruption length...
Jan Chong, Rosanne Siino