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» Learning local pixel structure for face hallucination
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CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
EMNLP
2011
12 years 8 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
ICB
2007
Springer
683views Biometrics» more  ICB 2007»
14 years 2 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...
ICIP
2006
IEEE
14 years 10 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 3 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...