In a country like India where different scripts are in use, automatic identification of printed script facilitates many important applications such as automatic transcription of multilingual documents and for the selection of script specific OCR in a multilingual environment. In this paper a novel method to identify the script type of the collection of documents printed in seven Indian language...

For many machine learning problem settings, particularly with structured inputs such as sequences or sets of objects, a distance measure between inputs can be specified more naturally than a feature representation. However, most standard machine models are designed for inputs with a vector feature representation. In this work, we consider the estimation of a function f : X → R based solely on a...

The Electronic Return-less Fuel System (ERFS) manages the delivery of fuel from the fuel tank to the engine. The pressure in the fuel line is electronically controlled by the fuel system control module by speeding up or slowing down the fuel pump. This allows the system to efficiently control the amount of fuel provided to the engine when compared to vehicles equipped with a standard fuel syste...

in this work, one and two-dimensional lattices are studied theoretically by a statistical mechanical approach. the nearest and next-nearest neighbor interactions are both taken into account, and the approximate thermodynamic properties of the lattices are calculated. the results of our calculations show that: (1) even though the next-nearest neighbor interaction may have an insignificant effect...

This paper proposes a sampling based planning algorithm to control autonomous vehicles. We propose an improved Rapidly-exploring Random Tree which includes the definition of Knearest points and propose a two-stage sampling strategy to adjust RRT in other to perform maneuver while avoiding collision. The simulation results show the success of the algorithm.

Alternative non-parametric classification schemes, which come from the use of different definitions of neighbourhood, are introduced. In particular, the Nearest Centroid Neighbourhood along with the neighbourhood relation derived from the Ž . Gabriel Graph and the RelatiÕe Neighbourhood Graph are used to define the corresponding kNearest Neighbour-like classifiers. Experimental results are repo...

In this paper, the use of the probabilities produced by a Knearest neighbours (K-nn) estimator as confidence measure is investigated in an hypothesis verification post-processing scheme. The objective is to classify as correct or incorrect the outputs of a Gaussian mixture model (GMM) /HMM speech recognition system. Four confidence measures based on the Knn probability estimator are introduced....

This work was done with the aim of developing fundamental breast cancer early differential diagnosis foundations based on modeling spacetime temperature distribution using microwave radiothermometry method and obtained data intelligent analysis. The article deals machine learning application in problems associated construction mammary glands fields computer models for patients various diagnosti...

In this paper, we analyse the main factors explaining profitability (ROA) of Microfinance Institutions (MFIs) in Peru from 2011 to 2107. We apply three wrapper techniques asample 168 Peruvians MFIs and 69 attributes obtained MIX Market database. After running algorithms M5?, knearest neighbours (KNN) Random Forest, find that M5? algorithm provides best fit for predicting ROA. Particularly, key ...