Enhanced unit training for piecewise linear seperation incremental algorithms

Improving piecewise linear separation incremental algorithms using complexity reduction methods

Algorithms for Segmenting Time Series

As with most computer science problems, representation of the data is the key to ecient and eective solutions. Piecewise linear representation has been used for the representation of the data. This representation has been used by various researchers to support clustering, classication, indexing and association rule mining of time series data. A variety of algorithms have been proposed to obtain...

Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms

Fast (Incremental) Algorithms for Useful Classes of Simple Temporal Problems with Preferences

In this paper, we will provide a fast polynomialtime algorithm for solving simple temporal problems (STPs) with piecewise linear convex preference functions and a utilitarian objective function. Our algorithm is motivated by the study of the linear programming (LP)-dual of a given mincost circulation problem (MCCP). We will also show how this duality relationship between simple temporal problem...

Distributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology

Recently, the problem of compressive sensing (CS) has attracted lots of attention in the area of signal processing. So, much of the research in this field is being carried out in this issue. One of the applications where CS could be used is wireless sensor networks (WSNs). The structure of WSNs consists of many low power wireless sensors. This requires that any improved algorithm for this appli...