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Advancements in social media technology have resulted in the booming of massive public data. The availability of these huge data sets offers numerous research opportunities for deriving meaningful cause-effect relationships for many applications. One important application domain is the cause of side effects of drugs. In this paper, we applied supervised learning to extract useful cause-and-effect...
Opinion mining is growing area as people are sharing their views, opinions & experiences online. Automatic detection and analysis of sentiment around products, brands, political issues etc. is a challenging task. Domain adaptation is an important issue, which aims at transferring knowledge across domains or tasks. The labeling work may be time-consuming and expensive in order to build accurate...
Recommender systems with the approach of collaborative filtering by using the algorithms of machine learning gives better optimized results. But selecting the appropriate learning rate and regularized parameter is not an easy task. RMSE changes from one set of these values to others. The best set of these parameters has to be selected so that the RMSE must be optimized. In this paper we proposed a...
Lectures are one of the medium used in Teaching-Learning strategy. However, amount of knowledge gained by the student is not always equal to the amount of knowledge shared in the lecture. This can be due to several reasons like long lecture hours, lack of concentration of student and many others. If the concepts which are not clearly understood are pre-requisite to understand next/other concept/topic...
In this work, a cascade classifier is trained to detect multi-view face samples. Comparing with most of face detection system which use different classifier to classify frontal face and profile face, our system has advantage in detection speed. The proposed face detector extracts the Haar-like feature from the training samples and train a cascade classifier by using Adaboost learing algorithm. Different...
Analysis of emotion in speech is manifested by the analysis of the vocal behavior of the nonverbal aspect of the speech. The basic assumption is that there is a set of objectively measurable voice parameters called prosodic aspects of speech, which can be assessed through computerized acoustical analysis. In this paper, we report results on recognizing emotional states (happy, sad, angry) from a corpus...
Mining the large volume textual data produced by microblogging services has attracted much attention in recent years. An important preprocessing step of microblog text mining is to convert natural language texts into proper numerical representations. Due to the short-length characteristic, finding proper representations of microblog texts is nontrivial. In this paper, we propose to build deep network-based...
Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
We present a supervised machine learning system capable of matching internet devices to web cookies through filtering, feature engineering, binary classification, and post processing. The system builds a reasonably sized training and testing data set through filtering and feature engineering. We build 415 features in total. Some of these features were engineered to be O(n) time, stand alone classifiers...
We analyze postings in the Turn to Islam forum using techniques based on singular value decomposition (SVD) and the deep learning technique of stacked denoising autoencoders (SDAE). Models based on frequent words and jihadist language intensity are used, and the results compared. Our main conclusion is that SDAE approaches, while clearly discovering structure in document-word matrices, do not yet...
Let us consider a specific acoustic scene appearing in a continuous audio stream recorded while making a trip a in city. In this work, we aim at detecting at the earliest opportunity the several occurrences of this scene. The objective in early detection is then to build a decision function that is able to go off as soon as possible from the onset of a scene occurrence. This implies making a decision...
Intelligent Traffic Monitoring has been an area of avid research in the past decade. The aim of this research paper is to present a novel design of an adaptive traffic control system that ensures fair scheduling and provides dynamic suggestions of optimal routes to neighbourhoods based on traffic intensity information collected by piezoelectric strips installed on the road. The time slice for each...
With the popularity of Internet of Things, lots of resource constrained devices equipped with sensors and actuators are pervasively deployed to compose a smart environment, and Big Data are obtainable for a system to do further analytics thus to achieve human-centric purposes. One such human-centric system is a smart home which analyze Big Data to recognize contexts and their corresponding preferences...
Since the start of the 21st century, computer networks have been through an exponential growth in terms of the network capacity, the number of the users and the type of tasks that are performed over the network. With the resent boom of mobile devices (e.g., Tablet computers, smart phones, smart devices, and wearable computing), the number of network users is bound to increase exponentially. But, most...
Speculative multithreading (SpMT) is a thread-level automatic parallelization technique to accelerate sequential programs on multi-core, and it partitions programs into multiple threads to be speculatively executed in the presence of ambiguous data and control dependences while the correctness of the programs is guaranteed by hardware support. Thread granularity, number of parallel threads as well...
Currently, There are many E-commerce websites around the internet world. These E-commerce websites can be categorized into many types which one of them is C2C (Customer to Customer) websites such as eBay and Amazon. The main objective of C2C websites is an online market place that everyone can buy or sell anything at any time. Since, there are a lot of products in the E-commerce websites and each...
Nowadays, there are a lot of online repositories containing thousands of very useful educational resources for the educational community. To take full advantage of these resources requires a simple, direct and effective access to those resources that are of interest, therefore, it is necessary that those resources are ordered or ranked based on some criteria? -- that is to say, they have to be classified...
Missing Values (MV) present a serious problem facing research in software engineering (SE) which is mainly based on statistical and/or data mining analysis of SE data. The simple method of dealing with MV is to ignore data with missing observations. This leads to losing valuable information and then obtaining biased results. Therefore, various techniques have been developed to deal adequately with...
To add more value on YouTube, a popular portal of social media clips, it is worth recognizing automatically the mood of a media clip using the comments given to such clip. This paper presents a method to classify emotion of a Thai media clip on YouTube using the comments given to the clip. Six basic emotions considered are Anger, Disgust, Fear, Happiness, Sadness and Surprise. Performances using three...
Collaborative monitoring of large infrastructures, such as military, transportation and maritime systems are decisive issues in many surveillance, protection, and security applications. In many of these applications, dynamic multi-agent systems using reinforcement learning for agents’ autonomous path planning, where agents could be moving randomly to reach their respective goals and avoiding topographical...
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