Machine learning (ML) methods are used to extract new knowledge from existing datasets. Ensemble methods (EM) were introduced to improve the ML performance. While EM's offer performance improvements, they limit th...
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ISBN:
(纸本)1601322178
Machine learning (ML) methods are used to extract new knowledge from existing datasets. Ensemble methods (EM) were introduced to improve the ML performance. While EM's offer performance improvements, they limit the amount of control and general understanding of how the final result was achieved. We are researching the possibility to verify ML results with formalization of research results accessible in natural language. We propose to use the extracted information from scientific papers for the verification of ML results. In order to be able to extract the information, relevant to the ML results, an approach to extract specific information rich segments from scientific papers is needed. We present an approach to automated selection of relevant segments from large repositories.
Charities face a difficult funding environment, mainly because charities are not highly transparent. Day over day It became more difficult to know whether donations are reaching the right place, or taking another cour...
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Advances in algorithmic studies have been made recently, especially in the area of finding the shortest path. Despite taking a greedy approach, the Dijkstra algorithm is well recognized for its efficacy and has establ...
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Severe image skewness, which is inevitable in text image acquiring, increases difficulties in image segmentation and decreases character recognition accuracy. In this paper, an improved skew angle estimation technique...
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ISBN:
(纸本)1934272620
Severe image skewness, which is inevitable in text image acquiring, increases difficulties in image segmentation and decreases character recognition accuracy. In this paper, an improved skew angle estimation technique is presented. In addition, a novel technique of detecting and extracting text from camera-captured images is proposed to solve the following major obstacles in realizing the visual translation: low resolution, various brightness or grayscale, and perspective distortion, and moreover, involuted layouts and interaction of content mixed with the colorful background. As a result, the higher accuracy of camera-based visual translation is witnessed from the obtained testing results.
With the emergence of mobile multimedia services, such as unified messaging, click to dial, cross network multiparty conferencing and seamless multimedia streaming services, the fixed-mobile convergence and voice-data...
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Producing software that is adaptable to the rapid environmental changes and the dynamic nature of the business life-cycle is extensively becoming a topical issue in the software evolution. In this context, change prop...
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Mobility support for Internet devices is very important, since mobile computing is getting more widespread. Since these devices are wireless and therefore mobile, they will derive great benefit form Mobile IPv6. Mobil...
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To compute multidimensional data, tensor algebra is a powerful tool and it has many applications in machine learning and data analytics. This multidimensional data which is represented with higher-order tensors for mu...
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Next generation Vehicular Ad Hoc Network (VANET) needs seamless connectivity with high level of quality of services (QoS) and high data rates services. The complexity of VANET raises concern about the QoS and the reli...
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Pneumothorax is a life-threatening and urgent chest disease than can be detected using Chest X-Ray (CXR) image. CXR images are low resolution and diagnosis of pneumothorax based on them is error prone. Deep learning-b...
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