By using two main algorithms: holistic based and component based. And the system consist of mainly four components 1) Eye detection and alignment , 2) Use of feature descriptors , 3) Genetic algorithm , 4) Sum of score fusion. Holistic based algorithm In holistic based algorithms faces are compared by considering the whole face simultaneously. Strength of the holistic algorithm is that it characterizes both facial composites and mugshots with local descriptor based features. The working of holistic algorithm pipeline is given in fig.
of Information Technology Thiagarajar College of Engineering, Madurai, Tamil Nadu, India email@example.com firstname.lastname@example.org ABSTRACT Sentiment analysis is the emerging technique by which one can extract information from vast amount of data dispersed in web documents to improve knowledge management, business intelligence, marketing, sales, etc. This can be used to determine
Association Rule Learning (Dependency modeling) is a method that describes associated features in data, searching for relationships between variables. As an example, Web pages that are accessed together can be identified by association analysis. Anomaly Detection (Outlier/change/deviation detection), this class identifies anomalies or outlier data records which cause errors, or might be of interest and requires further investigation. Another class is Clustering, which is the task to discover groups and structures in the data which in some aspect is “similar” or “dissimilar”, without using known structures in the data And the last class, Summarization, attempts to provide a more compact representation of the data set, including visualization and report
The second step uses bee colony algorithm for optimizing the path obtained in first step. The algorithm assumes that the path is comprised of several line segments passing from certain points. The algorithm attempts to find such points with the help of bee colony algorithm. These points are the source of generating shorter paths. It is assumed that the obstacles are polygonal in shape.
But, the research work in tagset design in Indian Languages (IL) presents a contradictory picture. There have been very less work done in designing tagsets for Indian languages. One of the main reasons of the lack of research lies in the fact that most of the tagsets for ILs are language specific and cannot be used for tagging data in other language. This inconsistency causes a hindrance to the interoperability and reusability of annotated corpora which further affects the NLP research in ILs, where already the non-availability of tagged data is a serious issue. So, Baskaran, Bali et al (2008) have attempted to design a common POS-tagset framework for ILs, by providing a detailed analysis of eight languages from two major families, Indo-Aryan and Dravidian.
Relation Markov Networks (RMN)  and Markov Logic Networks. Kleinberg and Liben-Nowell has presented a survey of predictors based on various graph proximity measures . In link prediction methods, the proximity measures are used which assign a numerical value to the link connecting two nodes u and v. There are three different kinds of proximity measures : Node neighborhood-based methods, Higher-level approaches and methods based on the ensemble of
D. S. Pacifico and T. B. Ludermir are introduce a novel GSO approach based on cooperative behavior among groups, called Cooperative Group Search Optimizer (CGSO). The cooperative behavior is obtained by a divide-and-conquer strategy, where each group is responsible for a limited set of the problem variables, and the final solution is found by combining solutions found by each group. In CGSO, the population members are divided in k independent groups. Each group is associated with d dimensions from the search space (where d x k = n). Each group will execute local searches seeing to minimize its own set of variables.
For programming, however, the need for formal communication with the computer programming language has been granted. We want to challenge this assumption. MITCOE, Department of Computer Engineering, Pune 2015-16 1 Sentimental Analysis and Emotion Recognition We I think that modern natural language processing technology allows the fullest possible use of natural language programming ideas, thus greatly improving the programming non-professional user accessibility. To Feasibility displays of natural language programming, the paper tackles what is considered some of the most difficult situations: the steps and cycles. NLP is a field of computer science, artificial intelligence, and the computational linguistics are concerned with interactions between computers and human languages.
In Automatic Question Generation and Adaptive Practice, the focus is also on automatic question generation from a specific chunk of text. This includes various approaches based on methods from artificial that incorporates itself into natural language processing and describes the possibility to become adaptive into its learning practice and set the automatically generated questions from specific and closely related sentences. The design of the framework is modular as it needs to practice knowledge and used articles from an information website known as Wikipedia to publicly practice its implemented framework through a web interface.  The creation of excises directly from its natural language of unstructured data can be an attempt to first