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CORR
2011
Springer
188views Education» more  CORR 2011»
13 years 2 months ago
Robust Matrix Completion with Corrupted Columns
This paper considers the problem of matrix completion, when some number of the columns are arbitrarily corrupted, potentially by a malicious adversary. It is well-known that stand...
Yudong Chen, Huan Xu, Constantine Caramanis, Sujay...
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 1 months ago
Incremental Spectral Clustering and Its Application To Topological Mapping
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
Christoffer Valgren, Tom Duckett, Achim J. Lilient...
ICCS
2001
Springer
14 years 3 days ago
Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Eun-Jin Im, Katherine A. Yelick
ICPR
2008
IEEE
14 years 2 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
TSP
2008
79views more  TSP 2008»
13 years 7 months ago
New Blind Block Synchronization for Transceivers Using Redundant Precoders
This paper studies the blind block synchronization problem in block transmission systems using linear redundant precoders (LRP). Two commonly used LRP systems, namely, zero padding...
Borching Su, P. P. Vaidyanathan