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ICPR
2006
IEEE
15 years 10 months ago
Fast Linear Discriminant Analysis Using Binary Bases
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 ...
Feng Tang, Hai Tao
JSC
2006
76views more  JSC 2006»
15 years 4 months ago
Fast computation of special resultants
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...
ISCA
1989
IEEE
1033views Hardware» more  ISCA 1989»
15 years 8 months ago
Can Dataflow Subsume von Neumann Computing?
: 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...
Rishiyur S. Nikhil
DPPI
2007
ACM
15 years 8 months ago
From entry to access: how shareability comes about
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...
Eva Hornecker, Paul Marshall, Yvonne Rogers
AAAI
2011
14 years 4 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
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...