812 search results - page 80 / 163 » Preference-based learning to rank |
129
Voted
WWW
2011
ACM
14 years 7 months ago
2011
ACM
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
96
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key ...
102
Voted
VLDB
1990
ACM
15 years 4 months ago
1990
ACM
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
ECML
2006
Springer
15 years 4 months ago
2006
Springer
This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
ADMA
2005
Springer
15 years 6 months ago
2005
Springer
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...