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» Adaptive relevance feedback in information retrieval
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CIKM
2003
Springer
14 years 1 months ago
Visual structures for image browsing
Content-Based Image Retrieval (CBIR) presents several challenges and has been subject to extensive research from many domains, such as image processing or database systems. Databa...
Ricardo da Silva Torres, Celmar G. Silva, Claudia ...
SIGIR
2002
ACM
13 years 8 months ago
Comparing cross-language query expansion techniques by degrading translation resources
The quality of translation resources is arguably the most important factor affecting the performance of a cross-language information retrieval system. While many investigations ha...
Paul McNamee, James Mayfield
LREC
2010
132views Education» more  LREC 2010»
13 years 10 months ago
Development and Use of an Evaluation Collection for Personalisation of Digital Newspapers
This paper presents the process of development and the characteristics of an evaluation collection for a personalisation system for digital newspapers. This system selects, adapts...
Alberto Díaz, Pablo Gervás, Antonio ...
ICML
1997
IEEE
14 years 9 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
HICSS
1994
IEEE
155views Biometrics» more  HICSS 1994»
14 years 23 days ago
Concurrent Simulation and Control of Robot Tasks
In the area of telerobotics, where remote systems are to be controlled, it is helpful to plan subsequent operations based on as much relevant data as possible. The simulation of t...
Ulrich Mehlhaus