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» Learning Gaussian processes from multiple tasks
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113
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ICASSP
2010
IEEE
15 years 3 months ago
Learning sparse systems at sub-Nyquist rates: A frequency-domain approach
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Martin McCormick, Yue M. Lu, Martin Vetterli
122
Voted
JMLR
2010
172views more  JMLR 2010»
14 years 10 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....
145
Voted
DIAL
2006
IEEE
185views Image Analysis» more  DIAL 2006»
15 years 9 months ago
Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques
The availability of large, heterogeneous repositories of electronic documents is increasing rapidly, and the need for flexible, sophisticated document manipulation tools is growi...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
93
Voted
ICASSP
2011
IEEE
14 years 7 months ago
DSP evolution from a teaching point of view
In this paper the authors are addressing the concerns associated with fast growing DSP chips and tools and the impact they have on teaching DSP implementation. The authors also pr...
Naim Dahnoun, Jason Brand
144
Voted
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 8 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di...
Xiao Zhang, Prasenjit Mitra