Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Much of recent action recognition research is based on
space-time interest points extracted from video using a Bag
of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
This paper introduces an improved evolutionary algorithm based on the Imperialist Competitive Algorithm (ICA), called Quad Countries Algorithm (QCA). The Imperialist Competitive Al...
M. A. Soltani-Sarvestani, Shahriar Lotfi, Fatemeh ...
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...