Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Existing face recognition methods suffer from efficiency problems and heavily rely on proper features extraction. In this paper, we propose an efficient face classification method which aims to reduce sensitivity to facial variations and occlusions, meanwhile complete tasks efficiently. In contrast with most energy minimizing based recognition methods, proposed algorithm is cast as a simple classification...
In this project by using the Haar Cascades, the logo of the product is detected and information is gathered from XML files located at remote database, which resides on object storage (swift). Web scraping is used to obtain the data stored in the XML file. The information is displayed which can include the reviews, price, contact or official website to order. The ADA-BOOST machine learning is used...
Data mining is the procedure of breaking down data from unlike perspectives and resuming it into useful information. It is very important in the field of classification of the objects. It has been fruitfully applied in expert systems to get knowledge. We can determine appropriate classification of unknown objects according to decision tree rules by applying inductive methods to the given values of...
There has been a rapid rise in the number of users getting connected online via social networking sites. To communicate with other users and share their thoughts and opinions, online users' tend to use texts in the form of blogs, posts, tweets, messages, reviews, comments etc. Thus, there has been an immense possibility complemented with a wide gamut of research in the field of Opinion Mining or Sentiment...
A method for face parametrical statistical features extraction from intensity fragments and segments is considered. Pixel coordinates means are calculated. An algorithm for face classification is proposed. Illustration of features and classification process for given features are presented.
Facial expression has made significant progress in recent years with many commercial systems are available for real-world applications. It gains strong interest to implement a facial expression system on a portable device such as tablet and smart phone device using the camera already integrated in the devices. It is very common to see face recognition phone unlocking app in new smart phones which...
In this paper, we propose an GPU based Cloud system for high-performance arrhythmia detection. Pan-Tompkins algorithm is used for QRS detection and we optimized beat classification algorithm with K-Nearest Neighbor (K-NN). To support high performance beat classification on the system, we parallelized beat classification algorithm with CUDA to execute the algorithm on virtualized GPU devices on the...
Determining the frequencies and the distribution of small subgraph patterns in a large input graph is an important part of many graph based mining tasks such as Frequent Subgraph Mining (FSM) and Motif Detection. Due to the exponential number of such graph patterns the interpretation of the mining results is mostly limited to finding unexpectedly frequent patterns, and in general identifying few particularly...
This paper examined the students' history of accessing the university Learning Management System (LMS) data. Classification techniques are used to build an educational model based on Knowledge Discovery in Databases (KDD) to predict learner's behavior. It identified the most valuable influencer for learning outcomes of the learners; it generated prediction models using the J48 decision tree algorithm...
Cluster Analysis methods are very important, popular data summarization techniques applied in diverse environments. These techniques retrieve the hidden patterns in large datasets in the form of characterized patterns which can be interpreted further in different contexts. Widespread use of medical information systems and explosive growth of medical databases require traditional manual data analysis...
The main objective of this research is to develop a framework to classify the medical data. In order to achieve promising results in medical data classification, we have planned to utilize orthogonal local preserving projection and classifier. Initially, the pre-processing will be applied to extract useful data and to convert suitable sample from raw medical datasets. Here, input dataset will be as...
In this paper, the brief survey of data mining classification by using the machine learning techniques is presented. The machine learning techniques like decision tree and support vector machine play the important role in all the applications of artificial intelligence. Decision tree works efficiently with discrete data and SVM is capable of building the nonlinear boundaries among the classes. Both...
Plants are one of the most fundamental and important species on earth. Forest eco-system has been an important source of various economically and socially significant plant species which are very difficult to be properly detected and identified. An automated image based species identification technique will be highly helpful, since it is a tedious job to collect and identify the samples manually in...
Usually, music is generally classified on the basis of its genre which indicates its musical style or musical form based on some sort of shared history. On the contrary, this paper aims to classify a given track into a mood such as happy, sad, peaceful and angry rather than based on its genre because more often than not, the listener prefers to hear songs similar to each other both in terms of the...
Ontology mapping is a common way to solve heterogeneous problem in ontologies and achieve the goal of ontology integration. In a distributed environment, it is necessary to find the mappings between ontologies before they are merged. There is a number of mapping approaches based on concept similarities which are widely used but with large amount of calculations exist. Aiming at mapping between ontologies...
Different pixel plays different roles in representing a face image. In this paper, we proposed a novel representation which integrates original and its virtual face image to represent test sample. This method first combines two adjacent columns of an original face image to generate corresponding virtual face image, and then classification algorithm is respectively applied to the original and virtual...
In this paper, we proposed a new algorithm based on independent keypoints databases for indoor place recognition. In analogy with set operation, a new kind of operations for keypoints sets are defined to describe the process of independent keypoints database establishment and place classification. To obtain the databases, keypoints are firstly extracted from sample images whose class are known, and...
In order to solve the problem of large space and time overhead in the PrefixSpan algorithm, a new sequential pattern mining algorithm based on PrefixSpan is proposed, which is PrefixSpan-x algorithm. The algorithm reduces unnecessary storage space and removes the non-frequent items, and combines AC automaton to optimize frequent sub-sequence mining, so as to improve the performance. Experiments prove...
With the WiFi becoming more and more popular over the last few years, the study on the technology of indoor positioning based on WiFi is given more and more attention. Being specific to the problem that not all the clustered reference points(RPs) of the traditional clustering algorithm have geometric proximity in indoor positioning, this paper puts forward the affinity propagation presentation(AP)...
Face recognition based on sparse representation is investigated in this paper. Dimensionality reduction is the process of projecting original image data into a low dimensional space, and usually be conducted before dictionary learning. However dimensionality reduction may lose information that is important to the face recognition task. Although the accuracy rate of face recognition varies with different...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.