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» A Quality Model for Evaluating Feature Models
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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 9 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
CIKM
2010
Springer
15 years 5 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 11 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 12 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
FGR
1996
IEEE
311views Biometrics» more  FGR 1996»
15 years 10 months ago
From 2D Images to 3D Face Geometry
This paper presents a global scheme for 3D face reconstruction and face segmentation into a limited number of analytical patches from stereo images. From a depth map, we generate ...
Richard Lengagne, Jean-Philippe Tarel, Olivier Mon...