Sciweavers

20 search results - page 3 / 4
» A Compression Algorithm for Large Arity Extensional Constrai...
Sort
View
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
14 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
SIGIR
2011
ACM
14 years 11 days ago
Faster temporal range queries over versioned text
Versioned textual collections are collections that retain multiple versions of a document as it evolves over time. Important large-scale examples are Wikipedia and the web collect...
Jinru He, Torsten Suel
MIRAGE
2007
Springer
15 years 3 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco
ICPR
2008
IEEE
15 years 10 months ago
EK-SVD: Optimized dictionary design for sparse representations
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
Raazia Mazhar, Paul D. Gader
SIAMREV
2010
174views more  SIAMREV 2010»
14 years 4 months ago
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo