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SIGIR
2012
ACM
13 years 7 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
APIN
1998
132views more  APIN 1998»
14 years 9 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
IRES
2002
63views more  IRES 2002»
14 years 9 months ago
The Semantic Web, universalist ambition and some lessons from librarianship
Building the semantic web encounters problems similar to building large bibliographic systems. The experience of librarianship in controlling large, heterogeneous collections of b...
Terrence A. Brooks
ERCIMDL
2007
Springer
115views Education» more  ERCIMDL 2007»
15 years 4 months ago
The Semantic GrowBag Algorithm: Automatically Deriving Categorization Systems
Using keyword search to find relevant objects in digital libraries often results in way too large result sets. Based on the metadata associated with such objects, the faceted sear...
Jörg Diederich, Wolf-Tilo Balke
COSIT
2003
Springer
94views GIS» more  COSIT 2003»
15 years 3 months ago
Testing the First Law of Cognitive Geography on Point-Display Spatializations
Abstract. Spatializations are computer visualizations in which nonspatial information is depicted spatially. Spatializations of large databases commonly use distance as a metaphor ...
Daniel R. Montello, Sara Irina Fabrikant, Marco Ru...