Sciweavers

1897 search results - page 57 / 380
» Sparse Additive Machine
Sort
View
ICASSP
2011
IEEE
14 years 4 months ago
Bounded gradient projection methods for sparse signal recovery
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
James Hernandez, Zachary T. Harmany, Daniel Thomps...
89
Voted
COCO
1991
Springer
93views Algorithms» more  COCO 1991»
15 years 4 months ago
Relating Equivalence and Reducibility to Sparse Sets
For various polynomial-time reducibilities r, this paper asks whether being r-reducible to a sparse set is a broader notion than being r-equivalent to a sparse set. Although distin...
Eric Allender, Lane A. Hemachandra, Mitsunori Ogiw...
TIP
2010
255views more  TIP 2010»
14 years 7 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
TASLP
2008
201views more  TASLP 2008»
15 years 15 days ago
Syntactically Lexicalized Phrase-Based SMT
Abstract--Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic knowledge caused system performance to deteriorate. The most recent su...
Hany Hassan, Khalil Sima'an, Andy Way
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 1 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye