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CVPR
2004
IEEE
16 years 6 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
EDBT
2009
ACM
120views Database» more  EDBT 2009»
15 years 11 months ago
Retrieving meaningful relaxed tightest fragments for XML keyword search
Adapting keyword search to XML data has been attractive recently, generalized as XML keyword search (XKS). One of its key tasks is to return the meaningful fragments as the result...
Lingbo Kong, Rémi Gilleron, Aurélien...
SMA
2010
ACM
231views Solid Modeling» more  SMA 2010»
15 years 4 months ago
Fast and robust retrieval of Minkowski sums of rotating convex polyhedra in 3-space
We present a novel method for fast retrieval of exact Minkowski sums of pairs of convex polytopes in R3 , where one of the polytopes keeps rotating. The algorithm is based on pre-...
Naama Mayer, Efi Fogel, Dan Halperin
IPM
2008
100views more  IPM 2008»
15 years 4 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
BMCBI
2008
153views more  BMCBI 2008»
15 years 4 months ago
2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
Jens Allmer, Sebastian Kuhlgert, Michael Hippler