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» Relevance Ranking Using Kernels
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ECIR
2009
Springer
15 years 9 months ago
Using Multiple Query Aspects to Build Test Collections without Human Relevance Judgments
Abstract. Collecting relevance judgments (qrels) is an especially challenging part of building an information retrieval test collection. This paper presents a novel method for crea...
Miles Efron
ECIR
2011
Springer
14 years 3 months ago
Learning Models for Ranking Aggregates
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
Craig Macdonald, Iadh Ounis
ECCV
2004
Springer
16 years 1 months ago
Kernel Feature Selection with Side Data Using a Spectral Approach
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...
Amnon Shashua, Lior Wolf
ICIAP
2009
ACM
14 years 9 months ago
Tree Covering within a Graph Kernel Framework for Shape Classification
Abstract. Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. However, edition distances can no...
François-Xavier Dupé, Luc Brun
IDEAL
2005
Springer
15 years 5 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...