We develop classification results for max–stable processes, based on their spectral representations. The structure of max–linear isometries and minimal spectral representations play important roles. We propose a general classification strategy for measurable max–stable processes based on the notion of co–spectral functions. In particular, we discuss the spectrally continuous–discrete, the conse...

The efficiency of simulation algorithms for max-stable processes relies on the choice of the spectral representation: different choices result in different sequences of finite approximations to the process. We propose a constructive approach yielding a normalized spectral representation that solves an optimization problem related to the efficiency of simulating max-stable processes. The simulat...

We give improved deterministic algorithms solving sparse instances of MAX-SAT and MAX-k-CSP. For instances with n variables and cn clauses (constraints), we give algorithms running in time poly(n)· 2n(1−μ) for – μ = Ω( 1 c ) and polynomial space solving MAX-SAT and MAX-kSAT, – μ = Ω( 1 √ c ) and exponential space solving MAX-SAT and MAX-kSAT, – μ = Ω( 1 ck2 ) and polynomial space solving MAX-k-...

We summarize the performance of the MAX experiment during its 5 years of operation and present a compilation of the results to date. We describe MAXIMA, a balloon borne experiment employing an array of detectors in the focal plane, that will provide sensitive measurements of the power spectrum between l ∼ 60 and l ∼ 650.

In order to incorporate long temporal-frequency structure for acoustic event detection, we have proposed a spectral patch based learning and representation method. The learned spectral patches were regarded as acoustic words which were further used in sparse encoding for acoustic feature representation and modeling. In our previous study, during feature encoding stage, each spectral patch was e...

We frame max-margin learning of latent variable structured prediction models as a convex optimization problem, making use of scoring functions computed by input-output observable operator models. This learning problem can be expressed as an optimization problem involving a low-rank Hankel matrix that represents the inputoutput operator model. The direct outcome of our work is a new spectral reg...

This paper focuses on spectrum availability as the primary driver in wireless architectural design and explores the influence of spectrum policy and spectrum access techniques on the convergence role of mobile communications technology and systems. Two wireless implementations will be reviewed: Wi-Fi (IEEE 802.11) and 3G. Both are essential to convergence and triple-play strategies in the Unite...