Sciweavers

1897 search results - page 15 / 380
» Sparse Additive Machine
Sort
View
94
Voted
CORR
2002
Springer
180views Education» more  CORR 2002»
15 years 8 days ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer
ACL
2007
15 years 1 months ago
Boosting Statistical Machine Translation by Lemmatization and Linear Interpolation
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
Ruiqiang Zhang, Eiichiro Sumita
93
Voted
ICIP
2006
IEEE
16 years 2 months ago
Sparse Image Reconstruction using Sparse Priors
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
Michael Ting, Raviv Raich, Alfred O. Hero
ICA
2010
Springer
15 years 19 days ago
SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...
96
Voted
COLT
2010
Springer
14 years 10 months ago
Sparse Recovery in Convex Hulls of Infinite Dictionaries
Let S be an arbitrary measurable space, T R and (X, Y ) be a random couple in S
Vladimir Koltchinskii, Stas Minsker