In this paper, an incremental algorithm which is derived from Nonnegative Matrix Factorization (NMF) is proposed for background modeling in surveillance type of video sequences. The adopted algorithm, which is called as Incremental NMF (INMF), is capable of modeling dynamic content of the surveillance video and controlling contribution of the subsequent observations to the existing representati...

A simple, practical method of applying incremental dynamic computed tomography (CT) to the imaging of 20 carotid bifurcations is described. The results are compared with those obtained by conventional carotid angiography and intravenous digital subtraction angiography (DSA). Conventional angiography provided additional information about the carotid bifurcation in only one of 14 cases, while inc...

the nonlinear static procedures (nsps) proposed by design codes do not lead to reliable results especially for tall buildings. they generally provide inconsistent estimates of inelastic seismic demands, especially for the top floors due to their inabilities in considering the higher modes effects. in this paper, a new enhanced pushover procedure is proposed which is based on the envelope of the...

the aim of this study is to assess cost-effectiveness of infliximab, compared with conventional treatments in patients with moderate to severe ulcerative colitis (uc) in iran. we developed an analytical decision model with a 5-year-time horizon to follow up 1000 hypothetical patients, in order to estimate treatment costs and outcomes. hypothetical patients, were individuals with moderate to sev...

The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important application area of mining association rules is the market basket analysis, which studies the buying behaviors of customers by searching for sets of items that are frequently purchased together. With the increasing use of the record-based databases whos...

The Galois (or concept) lattice produced from a binary relation has been proved useful for many applications. Building the Galois lattice can be considered as a conceptual clustering method since it results in a concept hierarchy. This article presents incremental algorithms for updating the Galois lattice and corresponding graph, resulting in an incremental concept formation method. Different ...

In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clusters that involves the use of two sets of representative points which are used to capture both the current shape of the cluster as well as the trend and type of change occuring in the data. The processing is done in a...

Incremental computation strives for efficient successive runs of applications by reexecuting only those parts of the computation that are affected by a given input change instead of recomputing everything from scratch. To realize the benefits of incremental computation, researchers and practitioners are developing new systems where the application programmer can provide an efficient update mech...

The performance of buildings subjected to earthquake loads has shown that asymmetric structures are caused more extensive damages in comparison with symmetric structures. Hence, the seismic performance of asymmetric structures should be assessed due to future random earthquakes. Reliability-based seismic assessment as one of the tools in performance-based earthquake engineering has been introdu...

Recent work in the macroeconometric literature considers the problem of summarising efficiently a large set of variables and using this summary for a variety of purposes including forecasting. Work in this field has been carried out in a series of recent papers. This paper provides an alternative method for estimating factors derived from a factor state space model. This model has a clear dynam...