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» Optimizing Learning in Image Retrieval
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ECIR
2009
Springer
14 years 6 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
SMI
2008
IEEE
181views Image Analysis» more  SMI 2008»
14 years 3 months ago
SHREC - 08 entry: Local 2D visual features for CAD Model retrieval
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
DAGM
2008
Springer
13 years 10 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
ICIP
2002
IEEE
14 years 10 months ago
Region-based retrieval: coarse segmentation with fine color signature
The two major problems raised by a region-based image retrieval system are the automatic definition and description of regions. In this paper we first present a technique of unsup...
Julien Fauqueur, Nozha Boujemaa
ICML
2010
IEEE
13 years 10 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet