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ICASSP
2011
IEEE
14 years 4 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
110
Voted
ISBI
2011
IEEE
14 years 4 months ago
Discriminative persistent homology of brain networks
It is known that the brain network has small-world and scalefree topology, but the network structures drastically change depending on how to threshold a connectivity matrix. The e...
Hyekyoung Lee, Moo K. Chung, Hyejin Kang, Bung-Nyu...
FTCGV
2011
122views more  FTCGV 2011»
14 years 4 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ICASSP
2011
IEEE
14 years 4 months ago
Score fusion and calibration in multiple language detectors with large performance variation
In a large-scale language detection task, performance variation found between different component systems and different target languages has an adverse effect to the pooled error ...
Raymond W. M. Ng, Cheung-Chi Leung, Tan Lee, Bin M...
85
Voted
INFOCOM
2011
IEEE
14 years 4 months ago
RelSamp: Preserving application structure in sampled flow measurements
—The Internet has significantly evolved in the number and variety of applications. Network operators need mechanisms to constantly monitor and study these applications. Given mo...
Myungjin Lee, Mohammad Y. Hajjat, Ramana Rao Kompe...