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ICDAR
2011
IEEE
12 years 9 months ago
Character n-Gram Spotting in Document Images
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...
M. Sudha Praveen, K. Pramod Sankar, C. V. Jawahar
TREC
2001
13 years 11 months ago
Link-based Approaches for Text Retrieval
We assess a family of ranking mechanisms for search engines based on linkage analysis using a carefully engineered subset of the World Wide Web, WT10g (Bailey, Craswell and Hawking...
Julien Gevrey, Stefan M. Rüger
NIPS
2008
13 years 11 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
ERCIMDL
2009
Springer
117views Education» more  ERCIMDL 2009»
14 years 4 months ago
A Visualization Tool of Probabilistic Models for Information Access Components
An effective graphic interface is a key tool to improve the fruition of the results retrieved by an Information Retrieval (IR) system. In this work, we describe a two-dimensional...
Lorenzo De Stefani, Giorgio Maria Di Nunzio, Giorg...
ECIR
2010
Springer
13 years 11 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis