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» Learning with Annotation Noise
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CVPR
2011
IEEE
14 years 1 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
ICASSP
2011
IEEE
14 years 1 months ago
Time-frequency segmentation of bird song in noisy acoustic environments
Recent work in machine learning considers the problem of identifying bird species from an audio recording. Most methods require segmentation to isolate each syllable of bird call ...
Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli...
70
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Jump Function Kolmogorov for overlapping audio event classification
This paper presents a novel method for audio event classi cation in overlapping conditions. The method is based on Jump Function Kolmogorov (JFK), a stochastic representation, whi...
Tran Huy Dat, Haizhou Li
ICASSP
2011
IEEE
14 years 1 months ago
Sensing-aware classification with high-dimensional data
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkat...
91
Voted
ACL
2011
14 years 1 months ago
Automated Whole Sentence Grammar Correction Using a Noisy Channel Model
Automated grammar correction techniques have seen improvement over the years, but there is still much room for increased performance. Current correction techniques mainly focus on...
Y. Albert Park, Roger Levy