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CVPR
2012
IEEE
8 years 2 months ago
Leveraging category-level labels for instance-level image retrieval
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
Albert Gordo, José A. Rodríguez-Serr...
ICCV
2011
IEEE
8 years 11 months ago
Contextual Weighting for Vocabulary Tree based Image Retrieval
In this paper we address the problem of image retrieval from millions of database images. We improve the vocabulary tree based approach by introducing contextual weighting of loca...
Xiaoyu Wang, Ming Yang, Timothee Cour, Shenghuo Zh...
ECIR
2011
Springer
9 years 3 months ago
Exploiting Thread Structures to Improve Smoothing of Language Models for Forum Post Retrieval
Due to many unique characteristics of forum data, forum post retrieval is different from traditional document retrieval and web search, raising interesting research questions abou...
Huizhong Duan, Chengxiang Zhai
SIGKDD
2010
146views more  SIGKDD 2010»
9 years 6 months ago
Latent semantic indexing (LSI) fails for TREC collections
The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
Avinash Atreya, Charles Elkan
ICIP
2010
IEEE
9 years 9 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
SPIESR
2001
164views Database» more  SPIESR 2001»
10 years 29 days ago
Content-based image retrieval using wavelet-based salient points
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing t...
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia...
ECIR
2007
Springer
10 years 1 months ago
A Bayesian Approach for Learning Document Type Relevance
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
Peter C. K. Yeung, Stefan Büttcher, Charles L...
CIKM
2007
Springer
10 years 3 months ago
Improve retrieval accuracy for difficult queries using negative feedback
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
SIGIR
2009
ACM
10 years 4 months ago
Evaluating effects of machine translation accuracy on cross-lingual patent retrieval
We organized a machine translation (MT) task at the Seventh NTCIR Workshop. Participating groups were requested to machine translate sentences in patent documents and also search ...
Atsushi Fujii, Masao Utiyama, Mikio Yamamoto, Take...
SIGIR
2004
ACM
10 years 5 months ago
A two-stage mixture model for pseudo feedback
Pseudo feedback is a commonly used technique to improve information retrieval performance. It assumes a few top-ranked documents to be relevant, and learns from them to improve th...
Tao Tao, ChengXiang Zhai
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