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210
Voted
CVPR
2012
IEEE
13 years 6 months ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
132
Voted
CVPR
2007
IEEE
16 years 5 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie
ICCV
2005
IEEE
16 years 5 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
WWW
2004
ACM
16 years 4 months ago
Integrating learning objects into an open learning environment: evaluation of learning processes in an informatics learning lab
The Didactics of Informatics research group at the University of Paderborn is involved in efforts to design implement and evaluate a web-based learning laboratory for informatics ...
Johannes Magenheim, Olaf Scheel
162
Voted
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 3 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...