354 search results - page 54 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
108
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
RIAO
2007
2007
From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations
15 years 1 months ago
Many documents on the Web are formated in a weakly structured format. Because of their weak semantic and because of the heterogeneity of their formats, the information conveyed by...
VIP
2003
15 years 1 months ago
2003
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
108
click to vote
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
ICPR
2008
IEEE
16 years 29 days ago
2008
IEEE
We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...