## Introduction of Decision Trees

Decision Tree:Overview in different kinds of supervised data mining techniques the Decision Tree are one of the most popular classification and prediction technique. basically the training data samples are organized in form of tree data structure. where the nodes of tree shows the attributes of the data set and edges can be used for demonstrating the values of these attributes. additionally the leaf node of the tree contains the decisions of t...

Forensics and Computer Vision: Blood Spatter Analysis
/ November 21, 2017

Often found at the scenes of violent crimes, the analysis of bloodstains can provide vital clues as to the occurrence of events Bloodstain Pattern Analysis is a forensic discipline in which, among others, the position of victims can be determined at crime scenes on which blood has been shed. Therefore, we studied in details about blood spatter analysis and their pattern analysis in image processing system. Blood Spatter Analysis : Si...

Introduction Image De-Noising
/ November 20, 2017

Any form of signal processing having image as an input and output (or a set of characteristics or parameters of image) is called image processing. In image processing we work in two domains i.e., spatial domain and frequency domain. Spatial domain refers to the image plane itself, and image processing method in this category are based on direct manipulation of pixels in an image and coming to frequency domain it is the analysis of ma...

What is Ensemble Learning
/ November 19, 2017

Ensemble learning typically refers to methods that generate several models which are combined to make a prediction, either in classification or regression problems. This approach has been the object of a significant amount of research in recent years and good results have been reported. This section introduced basic of the ensemble learning of classification. Ensemble Learning : Overview Ensemble learning is a machine learning paradi...

An Introduction of Object Recognition
/ November 18, 2017

Object Recognition: A Computer Vision Perception Computer vision is the ability of machines to see and understand what is in their surroundings. This field contains methods for acquiring, processing and analyzing of images to be able to extract important information used by artificial systems. Object recognition in computer vision is the task of finding a given object in an image or video sequence. It is a fundamental vision problem....

Hidden Treasure of Wild Beauty : Kanha National Park
/ November 17, 2017

History of Kanha National Park Kanha was originally formed a part of the Gondwana which means “Land of Gonds”. Given forest were inhibited by two aboriginal tribes of Central India, Gonds and Baigas. If we travel surrounding villages of Kanha National Parks, we may found majority of villagers are from same tribes. In late 1880, during British era, Kanha national park, called Central Provinces was setting for Rudyard Kipling’s Jungle ...

Introduction of Human Computer Interaction
/ November 17, 2017

Utilizing computers had always begged the question of interfacing. The methods by which human has been interacting with computers has travelled a long way. The journey still continues and new designs of technologies and systems appear more and more every day and the research in this area has been growing very fast in the last few decades. The growth in Human-Computer Interaction (HCI) field has not only been in quality of interaction...

How Question Answering System Works
/ November 16, 2017

The majority of all human knowledge is solely represented in natural language. This knowledge is accessible for humans, who can understand the natural language texts and answer questions about them, but it is not in the same measure accessible for machines. In this section we have listed some basics of question answering outlines: Question answering system : Overview Quality and reliable question answering system (QA) would be of hig...

Introduction of Linear Discriminant Analysis (LDA)
/ November 15, 2017

LDA is widely used to find linear combinations of features while preserving class separability. Unlike PCA, LDA tries to model the differences between classes. Classic LDA is designed to take into account only two classes. Specifically, it requires data points for different classes to be far from each other, while points from the same class are close. Consequently, LDA obtains differenced projection vectors for each class. Multi-clas...

An Example of Principal Component Analysis
/ November 14, 2017

Principal component analysis is a quantitatively rigorous method for achieving this simplification. The method generates a new set of variables, called principal components. Each principal component is a linear combination of the original variables. All the principal components are orthogonal to each other, so there is no redundant information. The principal components as a whole form an orthogonal basis for the space of the data. Pr...

Holy Temple Maa Sharda: Town Maihar
/ November 12, 2017

The holy town Maihar is a part of Satna district in the Indian state of Madhya Pradesh. It is a place of Hindus Faith and devotion. That is well known place for the temple of the mother goddess Sharda situated on Trikuta hill. The town was formerly the capital of the princely state of Maihar. The state was established in 1778 by Jogis clan, who were granted land by the ruler of the nearby state of Orchha. The state, which was watered...

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