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ISBI
2004
IEEE
15 years 10 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
JMLR
2012
13 years 10 days ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
SEFM
2005
IEEE
15 years 3 months ago
Description Logics for Shape Analysis
Verification of programs requires reasoning about sets of program states. In case of programs manipulating pointers, program states are pointer graphs. Verification of such prog...
Lilia Georgieva, Patrick Maier
POPL
2009
ACM
15 years 10 months ago
Compositional shape analysis by means of bi-abduction
This paper describes a compositional shape analysis, where each procedure is analyzed independently of its callers. The analysis uses an abstract domain based on a restricted frag...
Cristiano Calcagno, Dino Distefano, Peter W. O'Hea...
ACSAC
2004
IEEE
15 years 1 months ago
A Dynamic Technique for Eliminating Buffer Overflow Vulnerabilities (and Other Memory Errors)
Buffer overflow vulnerabilities are caused by programming errors that allow an attacker to cause the program to write beyond the bounds of an allocated memory block to corrupt oth...
Martin C. Rinard, Cristian Cadar, Daniel Dumitran,...