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» Boosting Object Detection Using Feature Selection
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PAKDD
2005
ACM
117views Data Mining» more  PAKDD 2005»
15 years 7 months ago
Automatic View Selection: An Application to Image Mining
Abstract. In this paper we discuss an image mining application of Egeria detection. Egeria is a type of weed found in various lands and water regions over San Joaquin and Sacrament...
Manoranjan Dash, Deepak Kolippakkam
ICIP
2000
IEEE
16 years 3 months ago
Integrated Compression and Linear Feature Detection in the Wavelet Domain
In many Earth observation missions, a large amount of data is collected by the on-board sensors, and must be transmitted to ground through a channel with limited capacity; in this...
Enrico Magli, Gabriella Olmo
3DOR
2010
14 years 9 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
IVC
2006
187views more  IVC 2006»
15 years 1 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
CVPR
2007
IEEE
16 years 4 months ago
Principal Curvature-Based Region Detector for Object Recognition
This paper presents a new structure-based interest region detector called Principal Curvature-Based Regions (PCBR) which we use for object class recognition. The PCBR interest ope...
Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas ...