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TLSDKCS
2010
12 years 10 months ago
Improving Retrievability and Recall by Automatic Corpus Partitioning
Abstract. With increasing volumes of data, much effort has been devoted to finding the most suitable answer to an information need. However, in many domains, the question whether a...
Shariq Bashir, Andreas Rauber
ICCV
2007
IEEE
13 years 10 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
CVPR
2011
IEEE
12 years 7 months ago
Total Recall II: Query Expansion Revisited
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
Ondrej Chum, Andrej Mikulik, Michal Perdoch, Jiri ...
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
14 years 4 months ago
Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus
We present a document routing and index partitioning scheme for scalable similarity-based search of documents in a large corpus. We consider the case when similarity-based search ...
Deepavali Bhagwat, Kave Eshghi, Pankaj Mehra
ACL
1994
13 years 5 months ago
A Corpus-Based Approach to Automatic Compound Extraction
An automatic compound retrieval method is proposed to extract compounds within a text message. It uses n-gram mutual information, relative frequency count and parts of speech as t...
Keh-Yih Su, Ming-Wen Wu, Jing-Shin Chang