Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 629 for “"Pattern recognition"”.
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Handgrip pattern recognition
… only be fired by the authorized user. Handgrip pattern recognition holds great promise in the development of the smart gun. Two algorithms, static analysis algorithm and dynamic analysis algorithm, were developed to find the patterns of a person about how to grasp a handgun. The static analysis …
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Gated Expert Pattern Recognition
… besonderen Herausforderungen. Der Gated Expert Pattern Recognition Algorithmus wurde dazu entwickelt, um besonders genaue Kurzzeitprognosen für diesen Bereich erstellen zu können.
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Pattern recognition for computer security
… around the analysis of data and the discovery of patterns that describe aspects of the data. Discriminative learning methods extract prediction models from data that are optimized to predict a target attribute as accurately as possible. Machine-learning methods hold the promise of automatically …
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Protein engineering and pattern recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Chemistry, 1994.
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Pattern Recognition Using Spiking Neural Networks
… of the human brain in specific tasks like pattern recognition in comparison to traditional neural networks convinced neuroscientists to introduce a biologically plausible model of the neuron, which is known as spiking neurons. In opposition to conventional neuron, spiking neurons use a …
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Spectral Geometry for Structural Pattern Recognition
Graphs are used pervasively in computer science as representations of data with a network or relational structure, where the graph structure provides a flexible representation such that there is no fixed dimensionality for objects. However, the analysis of data in this form has proved an elusive …
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Hand Pattern Recognition Using Smart Band
<p>The Importance of gesture recognition has widely spread around the world. Many research strategies have been proposed to study and recognize gestures, especially facial and hand gestures. Distinguishing and recognizing hand gestures is vital in hotspot fields such as bionic parts, powered …
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Processing of cardiograms for pattern recognition.
Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering, 1974
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Pattern recognition applied to uranium prospecting.
Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Earth and Planetary Science.
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Abnormal Pattern Recognition in Spatial Data
In the recent years, abnormal spatial pattern recognition has received a great deal of attention from both industry and academia, and has become an important branch of data mining. Abnormal spatial patterns, or spatial outliers, are those observations whose characteristics are markedly different …
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Pattern Recognition and Anticipation Expertise in Soccer
… the nature of information underpinning skilled pattern-recognition, and anticipation in the game of soccer. In Chapter 2, three experiments were undertaken to identify the specific information sources used to make recognition judgments when presented with displays involving interaction between …
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Pattern recognition in software engineering trend adapting
… such decision making processes, by developing a pattern from past software engineering trends. While the pattern cannot answer all the questions by itself, it can relief the decision makers in a large extent by providing the most important information relevant to the software engineering trends. …
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Assisted history matching using pattern recognition technology
… study aims to examine the application of pattern recognition technologies to improve the time and efforts required for completing successful history matching projects. The pattern recognition capabilities of Artificial Intelligence and Data Mining (AI&DM;) techniques are used to develop a …
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Associative Pattern Recognition for Biological Regulation Data
… dissertation, we propose a series of associative pattern recognition algorithms in biological regulation studies. In particular, we emphasize efficiently recognizing associative patterns between genes, transcription factors, histone modifications and functional labels using heterogeneous data …
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A general state-based temporal pattern recognition
Time-series and state-sequences are ubiquitous patterns in temporal logic and are widely used to present temporal data in data mining. Generally speaking, there are three known choices for the time primitive: points, intervals, points and intervals. In this thesis, a formal characterization of …
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Temporal pattern recognition in multiparameter ICU data
… can pose a significant signal processing and pattern recognition challenge---often leading to false and clinically irrelevant alarms. We have developed a temporal database of several thousand ICU patient records to facilitate research in advanced monitoring systems. The MIMIC-II database …
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Classifiers : adaptive modules in pattern recognition systems
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
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