548 search results - page 48 / 110 » Iterated importance sampling in missing data problems |
128
Voted
AAAI
2010
15 years 2 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
86
Voted
ICCV
2003
IEEE
16 years 2 months ago
2003
IEEE
Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
112
Voted
KDD
2000
ACM
15 years 4 months ago
2000
ACM
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
123
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
108
Voted
ECCV
2006
Springer
15 years 4 months ago
2006
Springer
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...