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» Robustness of the Learning with Errors Assumption
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ICCV
2009
IEEE
16 years 4 months ago
Recovering the Spatial Layout of Cluttered Rooms
In this paper, we consider the problem of recovering the spatial layout of indoor scenes from monocular images. The presence of clutter is a major problem for existing singleview...
Varsha Hedau, Derek Hoiem, David Forsyth
ICIAP
2009
ACM
16 years 8 days ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
HPCA
2008
IEEE
16 years 2 days ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Predominant Vocal Pitch Detection in Polyphonic Music
We present a novel method for predominant vocal pitch detection in two-channel polyphonic music. The proposed method contains two stages. In the first stage, we apply the Frequenc...
Xi Shao, Changsheng Xu, Mohan S. Kankanhalli
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 3 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles