100 search results - page 3 / 20 » Adapting SVM Classifiers to Data with Shifted Distributions |
75
Voted
DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
78
Voted
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
103
Voted
PAMI
2012
12 years 12 months ago
2012
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
IJCNLP
2004
Springer
15 years 2 months ago
2004
Springer
We present a study of new word identification (NWI) to improve the performance of a Chinese word segmenter. In this paper the distribution and types of new words are discussed emp...