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ICCV
2011
IEEE
14 years 6 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
DMKD
2003
ACM
110views Data Mining» more  DMKD 2003»
15 years 11 months ago
Weave amino acid sequences for protein secondary structure prediction
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
Xiaochun Yang, Bin Wang
ICPR
2004
IEEE
16 years 7 months ago
A Hybrid Face Recognition Method using Markov Random Fields
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
Dimitris N. Metaxas, Rui Huang, Vladimir Pavlovic
ICMCS
2005
IEEE
165views Multimedia» more  ICMCS 2005»
16 years 2 days ago
Neighbor combination and transformation for hallucinating faces
In this paper, we propose a novel face hallucination framework based on image patches, which exploits local geometry structures of overlapping patches to hallucinate different com...
Wei Liu, Dahua Lin, Xiaoou Tang
ECCV
2004
Springer
16 years 8 months ago
Reliable Fiducial Detection in Natural Scenes
Reliable detection of fiducial targets in real-world images is addressed in this paper. We show that even the best existing schemes are fragile when exposed to other than laborator...
David Claus, Andrew W. Fitzgibbon