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» A Model Selection Approach for Local Learning
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CVPR
2007
IEEE
15 years 12 months ago
Accurate Object Detection with Deformable Shape Models Learnt from Images
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...
Cordelia Schmid, Frédéric Jurie, Vit...
CVPR
2003
IEEE
15 years 12 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
ACL
2010
14 years 8 months ago
Automatic Generation of Story Highlights
In this paper we present a joint content selection and compression model for single-document summarization. The model operates over a phrase-based representation of the source doc...
Kristian Woodsend, Mirella Lapata
ICIP
2007
IEEE
15 years 1 months ago
Robust lip Localization on Multi-View Faces in Video
In this paper, a fast and robust multi-view lip localization algorithm in video is proposed. We consider lip localization as a binary classification problem, where a classifier is...
Yi Wu, Rui Ma, Wei Hu, Tao Wang, Yimin Zhang, Jian...
CVPR
2012
IEEE
13 years 11 days ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...