499 search results - page 48 / 100 » Search Engines that Learn from Implicit Feedback |
WWW
2008
ACM
15 years 12 months ago
2008
ACM
We consider the problem of ranking refinement, i.e., to improve the accuracy of an existing ranking function with a small set of labeled instances. We are, particularly, intereste...
112
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TKDE
2008
14 years 11 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
WWW
2009
ACM
15 years 6 months ago
2009
ACM
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
111
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MM
2004
ACM
15 years 4 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
DAGM
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...