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» Means, Correlations and Bounds
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JOCN
2010
126views more  JOCN 2010»
15 years 3 days ago
Evidence for Early Morphological Decomposition in Visual Word Recognition
■ We employ a single-trial correlational MEG analysis technique to investigate early processing in the visual recognition of morphologically complex words. Three classes of affi...
Olla Solomyak, Alec Marantz
COLT
2010
Springer
14 years 11 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
ECCV
2008
Springer
16 years 3 months ago
Quick Shift and Kernel Methods for Mode Seeking
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Andrea Vedaldi, Stefano Soatto
COLT
2005
Springer
15 years 7 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
QUESTA
2010
107views more  QUESTA 2010»
15 years 2 days ago
On the inapproximability of M/G/K: why two moments of job size distribution are not enough
The M/G/K queueing system is one of the oldest model for multi-server systems, and has been the topic of performance papers for almost half a century. However, even now, only coar...
Varun Gupta, Mor Harchol-Balter, J. G. Dai, Bert Z...