relevance among retrieved information from different sources, not only in the news domain but also in special domains. In this research work, Information retrieval is limited to information available on web. This chapter starts with the retrieval models and the techniques used to improve retrieval; then it reviews approaches for cross-language information retrieval; and finally it discusses the information retrieval methods applied in Telugu. 2.1. Information Retrieval The term “Information Retrieval”
manipulation. Information Retrieval deal with unstructured data without a well-defined logical schematic. Database have fixed schema driven in some data model such as relational model. Information Retrieval has no fixed schema and has various data models such as vector space model. Database uses structured query model. Information Retrieval uses free-form query models. Database contains rich metadata operations. Information Retrieval contain rich data operation. Query will return data. Search request will return
and prey-predator system. Other than that, models and application of the eigenvalues and eigenvectors in prey-predator system will also be included in this assignment. Necessary appendix such as graphs will be attached with the assignment. BACKGROUND AND CONCEPT Linear algebra is the study of linear transformations of linear equations which are represented in a matrix form by matrices acting on vectors. Eigenvalues, eigenvectors and Eigen space are properties of a matrix (Sharma, n.d.). The
Linear algebra is used in the organization and sorting of these web pages when storing them in an internet search database. The vector space model;is used to enhance search results by representing them as two vectors, the document vector and query vector. Each dimension in the vector corresponds to a different term. If the term occurs in the document, its value in the vector is a non-zero value. Several different ways of computing the term weights have been developed, one of which is the frequency-inverse
“I kept asking myself if I felt different, if I was different. The answer was always yes. I was no longer nothing…” (Avi 221) This is a famous quote from the historical fiction book Crispin The Cross of Lead, written by Avi. This book is about a boy named Crispin, who goes through many trials and meets many people who help him find his true identity. Through the story Crispin has three “fathers” in his life, Lord Furnival, Bear, and God the Father and he learns several important things from them
I have been told throughout my life that I am abundantly prone to clumsiness. Some stories in my life are perfect evidence for this accusation, such as the time on New Years I fell off a jet ski. The Jet Ski story is now a popular anecdote in my family. Although it resulted in a minor ankle sprain the story seems to be as equally amusing if I had lost a foot. The saying “what happens in Vegas, stays in Vegas” should also apply to Mexico, for my sake. I had never been on a jet ski as of New
The marketing team met last Tuesday to discuss the possible properties that should receive Symphony Gold Status in 2015. The team was under instruction that it must choose at least one film and one television show. The team wanted to choose options that would expand and diversify our audience, while increasing loyalty with our current fan base and exciting them. To accomplish these objectives, the team recommends: Jurassic World, Fifty Shades of Grey, and The NBC Fall Line Up as the best options
Support Vector Machine(SVM): Over the past several years, there has been a significant amount of research on support vector machines and today support vector machine applications are becoming more common in text classification. In essence, support vector machines define hyperplanes, which try to separate the values of a given target field. The hyperplanes are defined using kernel functions. The most popular kernel types are supported: linear, polynomial, radial basis and sigmoid. Support Vector Machines
Principal Component Analysis Principal Component Analysis (PCA) is a multivariate analysis performed in purpose of reducing the dimensionality of a multivariate data set in order to recognize the shape or pattern of that data set. In other words, PCA is a powerful technique for pattern recognition that attempts to explain the variance of a large set of inter-correlated variables. It indicates the association between variables, thus, reducing the dimensionality of the data set. (Helena et al, 2000;
paintballs drop into to be shot) and does not rest in a forward position. Along with the open bolt, less porting along the front of the barrel makes for the more noticeable shot as opposed to the Luxe. The reliability of the LV1 is unparalleled from other models as demonstrated with nearly half of the professional paintball teams choosing a Planet Eclipse
Effective Teaching of Abstract Algebra Abstract Algebra is one of the important bodies of knowledge that the mathematically educated person should know at least at the introductory level. Indeed, a degree in mathematics always contains a course covering these concepts. Unfortunately, abstract algebra is also seen as an extremely difficult body of knowledge to learn since it is so abstract. Leron and Dubinsky, in their paper ¡§An Abstract Algebra Story¡¨, penned the following two statements,
The results of this experiment are that when comparing the average mandible length between carnivores and herbivores, the herbivores had the longer mandible length on average. Furthermore, when comparing the average eye length between herbivores and carnivores, the carnivores had larger eyes on average. In Figures 1 and 2 the x-axis represent the two groups of animals being tested and the y-axis represent the average diameter of the length. Figure 1 represents the average mandible length between
program, images, and figures for this project are implemented using the Matlab. Project Background: Theory of the Hough Transform The Hough transform (HT) is a powerful global method for detecting edges. It transforms between the Cartesian space and a parameter space in which a straight line (or other boundary formulation) can be defined. Line detection using Hough Transform is point‐line duality. Let’s assume the case where we have straight lines in an image. We first note that for every point (x_i
There are lots of real uses of mathematics in our life. All the mathematics terms base on counting. There is no concept of business without mathematics. We cannot deny the importance of mathematics in our daily life. Wherever we go (for example when we want to purchase something in the market), we need mathematics. And nowadays, technology is very important in our daily life, hence its system used mathematical rules. So we cannot deny the importance of mathematics in real life. My topic for this
either supervised or unsupervised learning models. The color feature extraction process consists of two parts: grid based representative of color selection [B.S.Manjunath, 2001] and discrete cosine transform with quantization. Color feature extraction is a very compact and resolution invariant representation of high speed image retrieval systems and it has been designed to efficiently represent the
associated with masculinity. The ideal/real axis also provides elements of masculinity. The ideal in the advertisement is the freedom and independence that is associated with masculinity and the real is the beach and open spaces towards which the boys are running. There is a vector (“natural lines formed from the composition of the picture”) (Roux, Stellenbosch University) which... ... middle of paper ... ...e of femininity as being associated with female individuals who are associated with the
rubber sheet model technique was adopted for normalization. Reference point is the centre of the pupil and radial vectors are assumed to pass from centre till the iris boundary. A number of feature points are selected on these vectors. The number of points on the radial line is called radial resolution and along the angular line is called angular resolution. A remapping function is used to rescale the points on the angular lines. A fixed number of points is taken on each radial vector. The Cartesian
voluntary movement and acceleration period. There were five steps for analysing postural control movement via Principle Component Analysis (PCA) of kinematics data including 1) selection of markers, 2) normalization of posture vectors, 3) PCA, 4) kinematics in posture space, and 5) calculation of dependent variables. Firstly, in selection of marker step, nine asymmetrical markers placed on upper arms, lower arms, right scapular, upper thighs and lower thighs were omitted for the analysis. If a trial
databases is a relatively young research area. In agricultural field, the determination of soil category mainly depends on the atmospheric conditions and different soil characteristics. Classification as an essential data mining technique used to develop models describing different soil classes. Such analysis can present us with a complete understanding of various soil databases at large. In our study, we proposed a novel Neuro-fuzzy classification based technique and applied it to large soil databases to
Miniaturized Devices”, Published in Proceedings of the 5th COST 276 Workshop on Information and Knowledge Management for Integrated Media Communication, 2003, pp.59-64 [2] Andrew Carl Lindgren B.S, “Speech Recognition Using Features Extracted from Phase Space Reconstructions”, Marquette University, Milwaukee, Wisconsin, May 2003 [3] Shivanker Dev Dhingra , Geeta Nijhawan , Poonam Pandit , “Isolated speech recognition using mfcc and dtw”, International Journal of Advanced Research in Electrical, Electronics