Pattern classification

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients

    pdf13p panasonic01 12-12-2011 13 2   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients

    pdf13p panasonic08 05-01-2012 24 2   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Distance-based features in pattern classification

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  • Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth to develop psychiatric services that can automatically identify such events. In this paper, we propose the use of association language patterns, i.e., meaningful combinations of words (e.g., ), as features to classify sentences with negative life events into predefined categories (e.g., Family, Love, Work).

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  • This paper presents a new bootstrapping approach to named entity (NE) classification. This approach only requires a few common noun/pronoun seeds that correspond to the concept for the target NE type, e.g. he/she/man/woman for PERSON NE. The entire bootstrapping procedure is implemented as training two successive learners: (i) a decision list is used to learn the parsing-based high precision NE rules; (ii) a Hidden Markov Model is then trained to learn string sequence-based NE patterns.

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  • Chapter 1: Overview on Pattern Recognition and Machine Learning includes about Pattern Recognition, Machine learning, Related fields of pattern recognition, Classification, Two paradigms of pattern recognition.

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  • (BQ) Part 1 book "Dermoscopy image analysis" presents the following contents: Toward a robust analysis of dermoscopy images acquired under different conditions, global pattern classification in dermoscopic images, dermoscopy image assessment based on perceptible color regions,...

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  • The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

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  • We will refer to embeddings providing a guarantee akin to that of Lemma 1.1 as JL- embeddings. In the last few years, such embeddings have been used in solving a variety of problems. The idea is as follows. By providing a low-dimensional representation of the data, JL-embeddings speed up certain algorithms dramatically, in particular algorithms whose run-time depends exponentially in the dimension of the working space. (For a number of practical problems the best-known algorithms indeed have such behavior.

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  • In this experiment, there was one type of real brain MR images. In order to evaluate the performance of the UVSRG, the widely used c-means method (also known as k-means) is used for comparative analysis. The reason to select the c-means method is because it is a spatial-based pattern classification technique. In order to make a fair comparison, the implemented c-means method always designates the desired target signature d as one of its class means with d fixed during iterations.

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  • A new kind of astrolory is being born at this time. It is still rather unformed, not totally coordinated, not fully adapted to social needs, and in need of a great deal of encouragement and support from its parents. Just as a baby falls many times in learning to walk, this new kind of astrology is having its ups and downs, and it occasionally falls flat on its face. Like all children, this growing entity requires concentrated attention from its parents in order to develop its potentialities to the full....

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Classification of voluntary cough sound and airflow patterns for detecting abnormal pulmonary function...

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Classification of rhythmic locomotor patterns in electromyographic signals using fuzzy sets

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  • This guideline is not intended to be construed or to serve as a standard of care. Standards of care are determined on the basis of all clinical data available for an individual case and are subject to change as scientific knowledge and technology advance and patterns of care evolve. Adherence to guideline recommendations will not ensure a successful outcome in every case, nor should they be construed as including all proper methods of care or excluding other acceptable methods of care aimed at the same results.

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  • There were a total of three rounds in the task: the first two were hypothetical and the last was the actual round. A pen and a picture frame were used in the hypothetical situations, and a coffee mug was used for the actual situation. Only the actual round had a real payoff, either the mug or the cash value of the fixed offer. On the third round when each subject has determined their offer they wrote it on an index card and place it inside an envelope (both items were provided) along with the amount of the WTA or WTP....

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  • A new kind of astrolory is being born at this time. It is still rather unformed, not totally coordinated, not fully adapted to social needs, and in need of a great deal of encouragement and support from its parents. Just as a baby falls many times in learning to walk, this new kind of astrology is having its ups and downs, and it occasionally falls flat on its face. Like all children, this growing entity requires concentrated attention from its parents in order to develop its potentialities to the full....

    pdf59p cronus75 13-01-2013 19 2   Download

  • Managing and Mining Graph Data part 1 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

    pdf10p pretty15 20-10-2010 64 16   Download

  • Managing and Mining Graph Data part 3 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

    pdf10p pretty15 20-10-2010 57 11   Download

  • Managing and Mining Graph Data part 62 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

    pdf11p pretty15 20-10-2010 60 9   Download

  • Managing and Mining Graph Data part 2 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

    pdf10p pretty15 20-10-2010 48 9   Download

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