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» Boosting for transfer learning
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136
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ICIP
2008
IEEE
16 years 5 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
88
Voted
ICPR
2006
IEEE
16 years 4 months ago
Radon space and Adaboost for Pose Estimation
In this paper, we present a new approach to camera pose estimation from single shot images in known environment. Such a method comprises two stages, a learning step and an inferen...
Patrick Etyngier, Nikos Paragios, Renaud Keriven, ...
132
Voted
ICPR
2006
IEEE
16 years 4 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
136
Voted
WWW
2009
ACM
16 years 4 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
125
Voted
ACCV
2009
Springer
15 years 10 months ago
Similarity Scores Based on Background Samples
Evaluating the similarity of images and their descriptors by employing discriminative learners has proven itself to be an effective face recognition paradigm. In this paper we sho...
Lior Wolf, Tal Hassner, Yaniv Taigman