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» Groundwork for Weak Analysis
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 1 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
CORR
2010
Springer
61views Education» more  CORR 2010»
13 years 9 months ago
A weakly stable algorithm for general Toeplitz systems
We show that a fast algorithm for the QR factorization of a Toeplitz or Hankel matrix A is weakly stable in the sense that RT R is close to AT A. Thus, when the algorithm is used ...
Adam W. Bojanczyk, Richard P. Brent, Frank R. de H...
JPDC
2007
191views more  JPDC 2007»
13 years 9 months ago
Clustering wireless ad hoc networks with weakly connected dominating set
The increasing popular personal communications and mobile computing require a wireless network infrastructure that supports selfconfiguration and self-management. Efficient clus...
Bo Han, Weijia Jia
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICCV
2007
IEEE
14 years 11 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley