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Feature fusion methods have been demonstrated to be effective for many computer vision based applications. These methods generally use multiple hand-crafted features. However, in recent days, features extracted through transfer leaning procedures have been proved to be robust than the hand-crafted features in myriad applications, such as object classification and recognition. The transfer learning...
Emotion plays an important role in human daily life and is a significant feature for interaction among people. Due to having adaptive role, it motivate human to respond stimuli in their environment quickly for improving their communication, learning and decision-making. With increasing role of brain computer interface (BCI) in interaction between users and computer, automatic emotion recognition has...
This work addresses Transfer Learning via Convolutional Neural Networks (CNN's) for the automated classification of colonic polyps in eight HD-endoscopic image databases acquired using different modalities. For this purpose, we explore if the architecture, the training approach, the number of classes, the number of images as well as the nature of the images in the training phase can influence the...
Various techniques have been proposed to detect smells in spreadsheets, which are susceptible to errors. These techniques typically detect spreadsheet smells through a mechanism based on a fixed set of patterns or metric thresholds. Unlike conventional programs, tabulation styles vary greatly across spreadsheets. Smell detection based on fixed patterns or metric thresholds, which are insensitive to...
With the increasing threats of security attacks, Machine learning (ML) has become a popular technique todetect those attacks. However, most of the ML approaches areblack-box methods and their inner-workings are difficult tounderstand by human beings. In the case of network security, understanding the dynamics behind the classification model isa crucial element towards creating safe and human-friendlysystems...
In the recent years', image processing is becoming an important field in computer science. Also, interaction between human and computer is in increasing rate. Nowadays image processing used in many application for example application like measuring the distance between systems that consist of a camera and objects around the system using Stereo vision. Some previous studies use pixel by pixel search...
Devanagari is an alphabetic script which is used by different Indian languages such as Marathi, Hindi, Konkani and Nepali. This script consists of 13 vowels, 34 consonants and 10 numerals. Due to unconstrained shape and variation in writing style, recognizing such handwritten script is challenging task. This paper proposed a system for recognizing handwritten numerals and vowels of Devanagari Script...
Now-a-days, providing a platform, where customers can obtain first-hand assessments of product information and manufacturers can collect customers reviews cum feedbacks to improve the product quality, is the prime need of any organization. These reviews are the people's opinion about particular product. Every website has reviews of their product and those reviews are difficult to analyze. Thus, the...
One of the dominant causes of visual impairment worldwide is Cataract. It causes a blurred and foggy vision which can lead to partial or complete loss of eyesight. A protein layer is developed gradually and the lens becomes cloudy over a long period of time which reduces vision and leads to blindness. Early treatment can lessen the difficulties faced by cataract patients and avert visual impairment...
Nowadays, the consumer reviews for various products are playing a very important role not only for consumers but also for the firms. A large collection of consumer reviews is now available on the internet. These reviews are very helpful to get quality information about the products. The consumer reviews are used as a feedback by the firms in their product development strategies and consumer relationship...
In this paper we propose a solution which highlights key sentences in lecture video transcripts based on acoustic analysis. The basic idea is that a good lecturer knows when and where to emphasize when giving a lecture and these emphases can be detected by acoustic features of the speech, such as energy, pitch, speaking rate, etc. The selected key sentences are then specially marked in the lecture...
In this paper, we discuss a novel approach to incrementally construct a rule ensemble. The approach constructs an ensemble from a dynamically generated set of rule classifiers. Each classifier in this set is trained by using a different class ordering. We investigate criteria including accuracy, ensemble size, and the role of starting point in the search. Fusion is done by averaging. Using 22 data...
Automatic prediction of continuous level emotional state requires selection of suitable affective features to develop a regression system based on supervised machine learning. This paper investigates the performance of low-level dynamic features for predicting two common dimensions of emotional state, namely, valence and arousal instantaneously. Low-complexity features are extracted from audio and...
This paper presents a user authentication system based on mouse movement data. An available logging tool named Recording User Input (RUI) is used to collect three types of mouse actions — Mouse Move, Point-and-Click on Left or Right mouse button and Drag-and-Drop. Collected data are divided into N-number of blocks consisting of specific number of actions. From each block seventy four features are...
Feature selection is the process of selecting a subset of features that provides maximum of the information, present otherwise in entire dataset. The process is very helpful when input for different tasks including classification, clustering, rule extraction and many others, is large. Rough Set Theory, right from its emergence, has been widely used for feature selection due to its analysis friendly...
We propose a general framework for information theoretic feature selection based on the integer programming. Filter feature selection methods usually rely on a greedy forward or backward selection heuristic to find a satisfactory set of features, as the exact search is a combinatorial problem. We formulate the existing filter information theoretic criteria into an integer programming problem, and...
This paper proposes the tool for the improvement of visitor spots of the Lanna civilization in the northern part of Thailand. Numbers of traveler are visited surrounding tourist spots in this area because of the identity of the culture, however large portions of the tourist attractions here still need to enhance to support the tourist. The propose tool expect to prescribe the subject to enhance for...
Presentation slides have always been the most effective tool to express a topic or theme. To present a particular topic, there is necessity for an individual to appropriately identify the relevant and important aspects that contribute to the related theme or topic. At present the tools for PowerPoint presentation generator like MSOffice, OpenOffice etc. carry out the task of generation of presentation...
Microblog, especially Twitter, have become an integral part of our daily life, where millions of users sharing their thoughts daily because of its short length characteristics and simple manner of expression. Monitoring and analyzing sentiments from such massive Twitter posts provide enormous opportunities for companies and other organizations to estimate the user acceptance of their products and...
Brain computer interface (BCI) is a technology that enables a user to interact with the outside world by measuring and analysing signals associated with neural activity, and mapping an identified neural activity pattern to a behavior or action. In this work, an BCI system was developed where the operation of a quadcopter is controlled by identified brain concentration and eye blink patterns. A portable...
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