Segmentation and Categorization
Sparse Multiscale Patches (SMP) for Image Categorization
... color and texture features are extracted from image blocks to train a statistical model; this model takes into account spatial relations among blocks and across image ...require segmentation of ...
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2018 — A framework for ancient and machine-printed manuscripts categorization
... définie en fonction de la carte du squelette afin de réduire le nombre de patches. NMTF est utilisée pour apprendre les bases de chaque police de caractères (ou style), puis ces bases sont utilisées pour classer une ...
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Fine-grained object categorization : plant species identification
... detection and local ...automatic segmentation [7, 16, ...codewords and basing classification on histograms of codeword occurrences; examples include [90, ...embedding and matching of ...
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Categorization and abstraction of construction schemas in children with specific language impairment
... To investigate the development of grammatical categories of noun and verb in French-speaking children with SLI and children with NL P URPOSE H YPOTHESES I MPLICATIONS 1. Children with SLI are more input ...
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Non-local Segmentation and Inpaiting
... Variational inpainting. Image inpainting is the process of reconstructing lost or corrupted parts of an image. Image inpainting has received considerable interest since the work by Masnou and Morel [6] who ...
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Hierarchical scene categorization : exploiting fused local & global features and outdoor & indoor information
... scene categorization, we aim at determining and attributing the content labels that describe a given image which are called scene ...humans and machines, the ability to learn and categorize ...
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Behavioral evidence of a dissociation between voice gender categorization and phoneme categorization using auditory morphed stimuli
... task and on the vowel formants in the gender categorization task, suggest that different phonemic cues are used to identify talkers and ...gender categorization and phoneme ...gender ...
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How active perception and attractor dynamics shape perceptual categorization: a computational model
... representation” and “fea- tures prediction” and between “features prediction” and “evolving decision” in Figure ...motoric and sensory stimulations that are plausibly acquired during category ...
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Categorization of CAD models based on thin part identification
... object and to retrieve a simi- lar ...faces and not vertices and with some addi- tional ...other, and this to avoid irrele- vant distance ...points and the center of gravity of one face ...
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Anterior Temporal Lobe Morphometry Predicts Categorization Ability
... of categorization abilities relies on various tests, including semantic and visual categorization ...Semantic categorization abilities are usually assessed by matching tests based on taxonomic ...
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Text categorization for an online tendering system
... tenders and the vendors, which both decreases the usability of the registration procedure of the system and increases the unreliability of ...the categorization process (semi-)automated using a ...
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An order-dependent transfer model in categorization
... classified as a joyful melody, while the scale “si la sol fa mi re do” is typically classified as a somber one. A large number of studies have confirmed the in- 5 tuition that the order in which information is presented ...
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Computational hair quality categorization in lower magnifications
... Computational hair quality categorization in lower magnifications The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Heshmat, Barmak et ...
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Can categorization and generalization difficulties explain word learning characteristics in Developmental Language Disorders?
... • Materials and procedure • 2 conditions : categories perceptually (e.g. : number of fingers) or relationally (e.g. : spatial relation : big part above small part) defined • Word learning task : • Rule/Bias ...
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Perceptual Categorization of Moving Sounds For Synthesis Applications
... Sixteen subjects participated in this experiment and all of them had participated in the first one (within a break of two weeks between the tests). The same stimuli as in test 1 were used (in the same experimental ...
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Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation.
... HC segmentation, recently published results (Barnes et ...templates and involving a label fusion step (Collins and Pruessner, 2010; Gousias et ...(2008) and an expectation-maximization (EM) ...
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Rethinking climate engineering categorization in the context of climate change mitigation and adaptation
... our categorization scheme was developed independently, it shares some aspects of the typology recently put forward by Heyward 15 ...SRM and CDR categories and revisits the boundaries of both ...
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Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization
... text categorization: learning algorithms and performance ...real and synthetic data indicate that the proposed approach significantly outperforms the corresponding “flat” approach as well as the local ...
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Boosting Kernel Combination for multi-class image categorization
... Index Terms— Image databases, Machine learning algo- rithms, Boosting 1. INTRODUCTION Recent machine learning techniques have demonstrated their power for classifying data in challenging contexts (large databases, very ...
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Categorization of the context within the medical domain
... acquisition and execution of ...social, and urban ...active and passive context, these four dimensions are computing, physical, time and ...system and quality changing information whose ...
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