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» Document Image Retrieval using Signatures as Queries
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CVPR
2012
IEEE
13 years 7 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
16 years 5 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong
ECIR
2007
Springer
15 years 6 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
CVPR
2007
IEEE
16 years 7 months ago
Object retrieval with large vocabularies and fast spatial matching
In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of i...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
SIGIR
2009
ACM
15 years 11 months ago
Estimating query performance using class predictions
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
Kevyn Collins-Thompson, Paul N. Bennett