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» Boosting Methods for Regression
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141
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CIKM
2009
Springer
15 years 10 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
113
Voted
ICASSP
2008
IEEE
15 years 10 months ago
A weighted subspace approach for improving bagging performance
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
Qu-Tang Cai, Chun-Yi Peng, Chang-Shui Zhang
157
Voted
ICCV
2007
IEEE
15 years 7 months ago
ClassMap: Efficient Multiclass Recognition via Embeddings
In many computer vision applications, such as face recognition and hand pose estimation, we need systems that can recognize a very large number of classes. Large margin classifica...
Vassilis Athitsos, Alexandra Stefan, Quan Yuan, St...
149
Voted
DAS
2008
Springer
15 years 5 months ago
A Robust System to Detect and Localize Texts in Natural Scene Images
In this paper, we present a robust system to accurately detect and localize texts in natural scene images. For text detection, a region-based method utilizing multiple features an...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
138
Voted
CVIU
2007
129views more  CVIU 2007»
15 years 3 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji