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» Gravitation-based model for information retrieval
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SIGIR
2002
ACM
13 years 10 months ago
Improving realism of topic tracking evaluation
Topic tracking and information filtering are models of interactive tasks, but their evaluations are generally done in a way that does not reflect likely usage. The models either f...
Anton Leuski, James Allan
AIRS
2008
Springer
14 years 5 months ago
A Semantic Content-Based Retrieval Method for Histopathology Images
This paper proposes a model for content-based retrieval of histopathology images. The most remarkable characteristic of the proposed model is that it is able to extract high-level ...
Juan C. Caicedo, Fabio A. González, Eduardo...
MM
2003
ACM
190views Multimedia» more  MM 2003»
14 years 3 months ago
Human + agent: creating recombinant information
combinFormation is a tool that enables browsing and collecting information elements in a generative space. By generative, we mean that the tool is an agent that automatically retr...
Andruid Kerne, Vikram Sundaram, Jin Wang, Madhur K...
MM
2004
ACM
151views Multimedia» more  MM 2004»
14 years 4 months ago
Affinity relation discovery in image database clustering and content-based retrieval
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
SIGIR
2006
ACM
14 years 4 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova