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» When Can Formal Methods Make a Real Difference
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GRC
2010
IEEE
15 years 4 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
156
Voted
TLDI
2005
ACM
151views Formal Methods» more  TLDI 2005»
15 years 9 months ago
Strict bidirectional type checking
Completely annotated lambda terms (such as are arrived at via the straightforward encodings of various types from System F) contain much redundant type information. Consequently, ...
Adam J. Chlipala, Leaf Petersen, Robert Harper
167
Voted
BMCBI
2010
218views more  BMCBI 2010»
15 years 26 days ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...
130
Voted
ACSAC
2006
IEEE
15 years 9 months ago
PolyUnpack: Automating the Hidden-Code Extraction of Unpack-Executing Malware
Modern malware often hide the malicious portion of their program code by making it appear as data at compiletime and transforming it back into executable code at runtime. This obf...
Paul Royal, Mitch Halpin, David Dagon, Robert Edmo...
149
Voted
AIPR
2007
IEEE
15 years 9 months ago
3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
Geometric structure of a scene can be reconstructed using many methods. In recent years, two prominent approaches have been digital photogrammetric analysis using passive stereo i...
Prudhvi Gurram, Stephen Lach, Eli Saber, Harvey E....