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NC
1998
101views Neural Networks» more  NC 1998»
13 years 10 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
CLEF
2007
Springer
14 years 3 months ago
Multiplying Concept Sources for Graph Modeling
This paper presents the LIG contribution to the CLEF 2007 medical retrieval task (i.e. ImageCLEFmed). The main idea in this paper is to incorporate medical knowledge in the langua...
Loïc Maisonnasse, Éric Gaussier, Jean-...
VISSYM
2003
13 years 10 months ago
Isosurfaces on Optimal Regular Samples
Volumetric samples on Cartesian lattices are less efficient than samples on body-centred cubic (BCC) lattices. We show how to construct isosurfaces on BCC lattices using several ...
Hamish Carr, Thomas Theußl, Torsten Möl...
TREC
2008
13 years 10 months ago
A Study of Adaptive Relevance Feedback - UIUC TREC 2008 Relevance Feedback Experiments
In this paper, we report our experiments in the TREC 2008 Relevance Feedback Track. Our main goal is to study a novel problem in feedback, i.e., optimization of the balance of the...
Yuanhua Lv, ChengXiang Zhai
SIGMOD
2004
ACM
161views Database» more  SIGMOD 2004»
14 years 9 months ago
Approximation Techniques for Spatial Data
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage spatial objects such as points, lines, and hyper-rectangles, often have very high ...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald