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» Multiclass boosting with repartitioning
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ECCV
2010
Springer
13 years 5 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
MVA
2011
336views Computer Vision» more  MVA 2011»
13 years 6 days ago
In-vehicle camera traffic sign detection and recognition
: In this paper we discuss theoretical foundations and a practical realization of a real-time traffic sign detection, tracking and recognition system operating on board of a vehicl...
Andrzej Ruta, Fatih Porikli, Shintaro Watanabe, Yo...
MM
2006
ACM
142views Multimedia» more  MM 2006»
13 years 11 months ago
Large-scale video retrieval via semantic classification
ons for this project. Most recent ones are listed at the end of this abstract. In the future, feature selection will be integrated in the multi-class EM algorithm to improve the pe...
Hangzai Luo, Jianping Fan
TCSV
2008
195views more  TCSV 2008»
13 years 5 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
TMM
2010
241views Management» more  TMM 2010»
12 years 12 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu