Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
We propose fast algorithms for computing composed products and composed sums, as well as diamond products of univariate polynomials. These operations correspond to special multiva...
Alin Bostan, Philippe Flajolet, Bruno Salvy, &Eacu...
: We explore the question: “What can a von Neumann processor borrow from dataflow to make it more suitable for a multiprocessor?’’ Starting with a simple, “RISC-like” ins...
Abstract. Shareability is a design principle that refers to how a system, interface, or device engages a group of collocated, co-present users in shared interactions around the sam...
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...