719 search results - page 98 / 144 » Solving Sparse Linear Constraints |
78
Voted
IPPS
2007
IEEE
15 years 5 months ago
2007
IEEE
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
116
Voted
ECML
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
IPPS
2006
IEEE
15 years 5 months ago
2006
IEEE
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
CINQ
2004
Springer
15 years 4 months ago
2004
Springer
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Gradient-domain compositing is an essential tool in computer vision and its applications, e.g., seamless cloning, panorama stitching, shadow removal, scene completion and...