Results 251 to 260 of about 2,001,646 (271)
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2009
Conventional CAD models only provide pure geometry and topology for mechanical designs such as vertices, edges, faces, simple primitives, and the relationship among them. Feature recognition is then required to interpret this low-level part information into high-level and domain-specific features such as machining features. Over the years, CAD has been
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Conventional CAD models only provide pure geometry and topology for mechanical designs such as vertices, edges, faces, simple primitives, and the relationship among them. Feature recognition is then required to interpret this low-level part information into high-level and domain-specific features such as machining features. Over the years, CAD has been
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Feature-based Object Recognition
2009 4th International Conference on Autonomous Robots and Agents, 2009The use of grey-scale contours, and fingerprints derived from this, has recently been used to analyse images for object recognition. The processing of these data can take a number of different forms. This paper describes a method for using characteristic aspects of the fingerprint, and geometrical relationships between them, to reduce an image to a set
J.W. Howarth +2 more
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Multi-Feature Pattern Recognition
2014This chapter focuses on feature selection and classification of multi-feature patterns. Micro array based cancer classification and image based face recognition are discussed. A detailed review of hand gesture recognition algorithms and techniques is included.
Pramod Kumar Pisharady +2 more
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Towards multiprocessor feature recognition
Computer-Aided Design, 1997Abstract The availability of low-cost computational power is enabling the development of increasingly sophisticated cad software. Automation of design and manufacturing activities poses many difficult computational problems—significant among them is how to develop interactive systems that enable designers to explore and experiment with alternative ...
William C Regli +2 more
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2010
Let us consider an image with 1024 ×768 pixels and let it be covered by a grid of 69 ×85 Gabor wavelet detectors, such that the pulse rate of N7a and N7b, resp., is obtained at each node of the grid. Let each detector possess 128 sensor pairs. Moreover, 6 complex, ie. 12 real Gabor wavelet detectors are applied.
Ulrich Ramacher +1 more
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Let us consider an image with 1024 ×768 pixels and let it be covered by a grid of 69 ×85 Gabor wavelet detectors, such that the pulse rate of N7a and N7b, resp., is obtained at each node of the grid. Let each detector possess 128 sensor pairs. Moreover, 6 complex, ie. 12 real Gabor wavelet detectors are applied.
Ulrich Ramacher +1 more
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Seizure Recognition on Epilepsy Feature Tensor
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007With a goal of automating visual analysis of electroencephalogram (EEG) data and assessing the performance of various features in seizure recognition, we introduce a mathematical model capable of recognizing patient-specific epileptic seizures with high accuracy. We represent multi-channel scalp EEG using a set of features.
Acar, Evrim +4 more
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Analysis of Molecular Recognition Features (MoRFs)
Journal of Molecular Biology, 2006Several proteomic studies in the last decade revealed that many proteins are either completely disordered or possess long structurally flexible regions. Many such regions were shown to be of functional importance, often allowing a protein to interact with a large number of diverse partners.
Mohan, Amrita +6 more
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Identifying Significant Environmental Features Using Feature Recognition
2015The Department of Environmental Analysis at the Kentucky Transportation Cabinet has expressed an interest in feature-recognition capability because it may help analysts identify environmentally sensitive features in the landscape, including those relating to historic preservation, archaeology, endangered species habitat, and geology.
White, Megan +3 more
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Situational feature recognition in schizophrenic outpatients
Psychiatry Research, 1996Previous research has suggested that patients with schizophrenia are significantly better at identifying relatively concrete features that describe social situations (e.g., actions and roles) than more abstract features (e.g., rules and goals). Because participants in the earlier research were all inpatients, the results may have been confounded by ...
P W, Corrigan, A, Garman, D, Nelson
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Phonotactic language recognition using MLP features
Interspeech 2012, 2012This paper describes a very efficient Parallel Phone Recognizersfollowed by Language Modeling (PPRLM) system in terms of bothperformance and processing speed. The system uses context-independentphone recognizers trained on MLP features concatenated with theconventional PLP and pitch features.
Benzeghiba, Mohamed +2 more
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