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Facial aging is a biological phenomenon that can be affected by various factors. Although it is inexorable, a strong correlation is found between face age and lifestyle. Drug addiction can significantly change the manner of the face ageing, therefore the awareness of its negative effects and risks may help avoid addiction and reduce the number of the addicts. Unlike numerous studies dealing with the...
Sentiment negation and negation scoring can be considered as major aspects of sentiment analysis. Social media sentiment analysis can be considered as an excellent source of information in today's business. But there is very minimal work has been done in sentiment negation scoring. All the existing negation scoring mechanisms are based on an adjective intensity approach. This research proposes a novel...
In this paper, we introduce a formulation for a folding sum transformation and then investigate into its impact on binary classification. The proposed folding sum transformation can reduce dimension of data without a training process. The least squares estimation and a full multivariate polynomial expansion are utilized to apply the folding sum transformation for binary classification. Twelve binary...
Although iris is known as the most accurate and face as the most accepted in biometrics, these distinct modalities encounter variability in data in real-world applications. Such limitation can be overcome by a multimodal system based on both traits. Additionally, by conditioning the multimodal fusion on quality, useful information can be extracted from lower quality measures rather than rejecting...
Every company stores more and more product data. Most of the data are not analyzed and possible findings cannot be used. But the utilization of existing knowledge can make the system development process more efficient. Therefore, this paper focuses on the data analysis of system architectures. It develops a concept to identify patterns between system architectures of different products in a database...
When learning a new word in language learning, there are two problems. One is how difficult the word itself is. The second is, in what kind of situation, it will be used. There is a research that defined quantitative ambiguity of words based on the structure of WordNet, then investigated the relationship between the ambiguity and the difficulty level of words. In this paper, we re-define ambiguity...
Document Analysis and Recognition (DAR) has two main objectives, first the analysis of the physical structure of the input image of the document, which should lead to the correct identification of the corresponding different homogeneous components and their boundaries in terms of XY coordinates. Second, each of these homogeneous components should be recognized in such a way that, if it is a text image,...
Determining Voice Onset Time (V OT) in speech is a challenging problem, because it combines temporal and very short duration. VOT is important to detect and classify languages and dialects. This paper is important because of the lack of research in the field of speech processing in Arabic language. Detection of VOT by manually is feasible, but it becomes a time consume when the database is large....
Being able to automatically predict digital picture quality, as perceived by human observers, has become important in many applications where humans are the ultimate consumers of displayed visual information. Standard dynamic range (SDR) images provide 8 bits/color/pixel. High dynamic range (HDR) images which are usually created from multiple exposures of the same scene, can provide 16 or 32 bits/color/pixel,...
In this paper, we investigate the effect of transfer of emotion-rich features between source and target networks on classification accuracy and training time in a multimodal setting for vision based emotion recognition. First, we propose emosource-a 6-layer Deep Belief Network (DBN), trained on popular emotion corpora for emotion classification. Second, we propose two 6-layer DBNs — emotarget and...
We present a publicly available benchmark database for the problem of hand posture recognition from noisy depth data and fused RGB-D data obtained from low-cost time-of-flight (ToF) sensors. The database is the most extensive database of this kind containing over a million data samples (point clouds) recorded from 35 different individuals for ten different static hand postures. This captures a great...
NoSQL databases are an effective solution for storing and processing large data, but these databases are heterogeneous. They offer different data storage models, implementations and languages to developers and users. This wide variety of platforms makes it difficult data interoperability, data integration and even data migration from one system to another. This paper proposes a literature review of...
Data aggregation is a process of expressing information in a summary form for further interpretation using statistical analysis, machine learning or data mining. Almost every data manipulation language has built-in, standard or common capabilities to aggregate data. This paper overviews different concepts of expressing data aggregation in programming languages. Specifically, we overview data aggregation...
Microtext is sparse and informal content typical in social media that is being widely used to study various facets of today's society. This paper proposes the use of supplemental context to counteract the limitations imposed by the sparsity and the informality of microtext on the performance of word sense disambiguation (WSD). WSD relies on the senses of words around an ambiguous word to disambiguate...
To accomplish the organizational business objectives and consistently improve processes, high maturity processes are implemented in numerous software enterprises. Organizational process asset library (OPAL) plays a significant role in the definitions, executions and improvements for software processes. Based on the conceptions of Capability Maturity Model Integration (CMMI) and practical experience,...
Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerised implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including making the background uniform, second-order Gaussian detector application and...
Financial transaction networks are some of the largest networks in existence. A relatively new type of financial networks is the digital (crypto) currency network, e.g., Bitcoin. Namecoin is an alternative crypto currency, based on Bitcoin, with additional features such as DNS. Namecoin network has more than 2 million nodes and almost 17 million edges. The analysis of such a crypto currency network...
Phenotypical similarity between diseases is an important factor in biomedical research since it has been used in many disease-related studies. More specifically, this information improves prediction performance of methods proposed for identifying disease-associated cellular components. In addition, this is also useful to figure out relationship among diseases to explain disease co-morbidity phenomenon...
Consistent query answering is a principled approach to query answering on inconsistent databases: when an inconsistent database has more than one plausible repair, queries are answered by returning the intersection of the query answers over all repairs. In this paper, we study consistent query answering over temporal databases relative to atemporal integrity constraints. A temporal database is conceptually...
Recent years have seen a growing interest in the use of deep neural networks as function approximators in reinforcement learning. In this paper, an experience replay method is proposed that ensures that the distribution of the experiences used for training is between that of the policy and a uniform distribution. Through experiments on a magnetic manipulation task it is shown that the method reduces...
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