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» Learning a Distance Metric from Relative Comparisons
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DICTA
2003
13 years 10 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
EDBT
2008
ACM
178views Database» more  EDBT 2008»
14 years 9 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
CVPR
2001
IEEE
14 years 11 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb

Publication
322views
14 years 1 months ago
Three-dimensional point cloud recognition via distributions of geometric distances
Ageometric framework for the recognition of three-dimensional objects represented by point clouds is introducedin this paper. The proposed approach is based on comparing distribut...
Mona Mahmoudi, Guillermo Sapiro