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On Pattern Recovery of The Fused Lasso
Fused Lasso Non-asymptotic Pattern recovery Preconditioning
2016/1/20
We study the property of the Fused Lasso Signal Approximator(FLSA) for estimating a blocky signal sequence with additive noise.We transform the FLSA to an ordinary Lasso problem. By studying the prope...
PATTERN FORMING DYNAMICAL INSTABILITIES OF BOSE–EINSTEIN CONDENSATES
Power is not stable condensate lattice
2014/12/29
In this short topical review, we revisit a number of works on the pattern-forming dynamical instabilities of Bose–Einstein condensates in one- and two-dimensional settings. In particular, we illustrat...
Time and category information in pattern-based codes
Neurons and Cognition (q-bio.NC) Quantitative Methods (q-bio.QM) Applications (stat.AP)
2010/12/17
Sensory stimuli are usually composed of different features (the what) appearing at irregular times (the when). Neural responses often use spike patterns to represent sensory information. The what is h...
The False Discovery Rate for Statistical Pattern Recognition
Statistical learning theory generalization error false discovery rate
2010/3/17
The false discovery rate (FDR) and false nondiscovery rate
(FNDR) have received considerable attention in the literature on multiple
testing. These performance measures are also appropriate for clas...
Multiple pattern matching：A Markov chain approach
Multiple pattern matching Markov chain approach
2010/4/28
RNA motifs typically consist of short, modular patterns that include base pairs formed
within and between modules. Estimating the abundance of these patterns is of fundamental
importance for assessi...