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ICASSP
2010
IEEE
13 years 7 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ASE
2008
120views more  ASE 2008»
13 years 7 months ago
Requirements model generation to support requirements elicitation: the Secure Tropos experience
In the last years several efforts have been devoted by researchers in the Requirements Engineering community to the development of methodologies for supporting designers during req...
Nadzeya Kiyavitskaya, Nicola Zannone
CACM
2010
104views more  CACM 2010»
13 years 7 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
ENTCS
2008
101views more  ENTCS 2008»
13 years 7 months ago
Improving Fault-based Conformance Testing
Fault-based conformance testing is a conformance testing strategy that relies on specific fault models. Previously, this mutation testing technique has been applied to protocol spe...
Bernhard K. Aichernig, Martin Weiglhofer, Franz Wo...
IANDC
2008
128views more  IANDC 2008»
13 years 7 months ago
Rule-based static analysis of network protocol implementations
Today's software systems communicate over the Internet using standard protocols that have been heavily scrutinized, providing some assurance of resistance to malicious attack...
Octavian Udrea, Cristian Lumezanu, Jeffrey S. Fost...