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TNN
2008
178views more  TNN 2008»
14 years 11 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
14 years 10 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi
CVPR
2012
IEEE
13 years 2 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
ICCV
2005
IEEE
15 years 5 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
ICMCS
2009
IEEE
205views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Bregman vantage point trees for efficient nearest Neighbor Queries
Nearest Neighbor (NN) retrieval is a crucial tool of many computer vision tasks. Since the brute-force naive search is too time consuming for most applications, several tailored d...
Frank Nielsen, Paolo Piro, Michel Barlaud