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» Boosting Image Retrieval
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SMI
2006
IEEE
168views Image Analysis» more  SMI 2006»
15 years 11 months ago
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 9 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
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 5 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ICB
2007
Springer
683views Biometrics» more  ICB 2007»
15 years 11 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...
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MIR
2005
ACM
197views Multimedia» more  MIR 2005»
15 years 10 months ago
Enhanced ontologies for video annotation and retrieval
A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-defined ontology of the video content domain. Ontolo...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai