Polynomial Representation of Classifiers with Independent Discrete-Valued Features

Representation of images for classificat

Representation of images for classification with independent features

✍ Hervé Le Borgne; Anne Guérin-Dugué; Anestis Antoniadis 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 584 KB

An application-independent methodology o

An application-independent methodology of feature recognition with explicit representation of feature interaction

✍ Ramesh V. Narang 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 758 KB

Convergence of products of independent r

Convergence of products of independent random variables with values in a discrete semigroup

✍ A. Mukherjea; T. C. Sun 📂 Article 📅 1979 🏛 Springer 🌐 English ⚖ 385 KB

A general, energy-separable polynomial r

A general, energy-separable polynomial representation of the time-independent full Green operator with application to time-independent wavepacket forms of Schrödinger and Lippmann—Schwinger equations

✍ Youhong Huang; Donald J. Kouri; David K. Hoffman 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 705 KB

A general, energy-separable Faber polynomial representation of the full time-independent Green operator is presented. Non-Hermitian Hamiltonians are included, allowing treatment of negative imaginary absorbing potentials. A connection between the Faber polynomial expansion and our earlier Chebychev

A characterization of strong random Gaus

A characterization of strong random Gaussian operators admitting an integral representation over a measure with independent values

✍ A. A. Dorogovtsev 📂 Article 📅 1991 🏛 Springer US 🌐 English ⚖ 362 KB

A general, energy-separable polynomial r

A general, energy-separable polynomial representation of the time-independent full Green operator with application to time-independent wavepacket forms of Schrödinger and Lippmann-Schwinger equations: Chem. Phys. Letters 225 (1994) 37

✍ Y. Huang; D.J. Kouri; D.K. Hoffman 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 38 KB