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ICML
2004
IEEE
16 years 4 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
128
Voted
SOQUA
2004
15 years 5 months ago
Measuring Component Performance Using A Systematic Approach and Environment
: As more third-party software components are available in the commercial market, more people begin to use the component-based software engineering approach to developing component...
Jerry Gao, Chandra S. Ravi, Raquel Espinoza
125
Voted
KDD
2008
ACM
142views Data Mining» more  KDD 2008»
16 years 4 months ago
Weighted graphs and disconnected components: patterns and a generator
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
Mary McGlohon, Leman Akoglu, Christos Faloutsos
125
Voted
EUROMICRO
2007
IEEE
15 years 10 months ago
Partial Verification of Software Components: Heuristics for Environment Construction
Code model checking of software components suffers from the well-known problem of state explosion when applied to highly parallel components, despite the fact that a single compon...
Pavel Parizek, Frantisek Plasil
127
Voted
EUROMICRO
2009
IEEE
15 years 7 months ago
Formal Semantics of the ProCom Real-Time Component Model
ProCom is a new component model for real-time and embedded systems, targeting the domains of vehicular and telecommunication systems. In this paper, we describe how the architectur...
Aneta Vulgarakis, Jagadish Suryadevara, Jan Carlso...