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GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 10 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
ICASSP
2010
IEEE
13 years 9 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
ICASSP
2010
IEEE
13 years 9 months ago
Evaluation of a stereo audio data hiding method using inter-channel decorrelator polarity
We extensively evaluated a data hiding algorithm for stereo audio signals which embeds data using the polarity of the echoes added to the high-frequency channels, which we have pr...
Kazuhiro Kondo
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 9 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
BMCBI
2008
99views more  BMCBI 2008»
13 years 9 months ago
NestedMICA as an ab initio protein motif discovery tool
Background: Discovering overrepresented patterns in amino acid sequences is an important step in protein functional element identification. We adapted and extended NestedMICA, an ...
Mutlu Dogruel, Thomas A. Down, Tim J. P. Hubbard