624 search results - page 28 / 125 » The Tradeoffs of Large Scale Learning |
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
LREC
2010
13 years 9 months ago
2010
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
AAAI
1996
13 years 9 months ago
1996
Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...