O PTIMISING THE NOVEL OBJECT RECOGNITION MODEL
Object Recognition Using Bows Model
... on Object Recognition using Bag-of-Words model done by the ...decades, object recognition had been used in image processing of many fields to carry out tasks such as image classifying, ...
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Novel Tactile-SIFT Descriptor for Object Shape Recognition
... an object can be accessed by the “skin” of the fingertips during the manipulations in hand, which means that the objects are needed to be touched multiple times to obtain a global ...each object are ...
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A Biological Model of Object Recognition with Feature Learning
... the model and learning only occurs from the C2 level to the view- tuned ...HMAX model uses the same features for all object ...the object class and explores learning at lower stages in the ...
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An incremental structured part model for object recognition
... discover novel categories in unlabeled images. Part-based model [9, 10] is a specific class of graph based methods for charac- terizing images, where graph nodes represent visual parts endorsed with seman- ...
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Enhanced Approximated SURF Model For Object Recognition
... Keywords - Feature extraction, SURF, style, styling. I. INTRODUCTION Extraction of features and discern information from images is one of the main aim of computer vision. Even though it can fulfill other purposes its use ...
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Lateral entorhinal cortex is critical for novel object context recognition
... explore novel object-context combinations in preference to familiar combina- tions, demonstrating memory for previously encountered object-context ...discriminated novel versus familiar ...
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Object Recognition Model Selection and the Advantages of a Local Database
... visual recognition capability of robots, also poses certain problems, like wrong annotation due to the open nature of the database, or overwhelming amounts of data (many 3D models) or the lack of relevant data (no ...
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Dissociations in the effect of delay on object recognition: evidence for an associative model of recognition memory
... tasks, object-in-place performance is explained through a slightly different ...familiar object). Because object-in-place performance arises from an association between the objects and the context ...
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Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding
... how object files can represent complex, unbounded displays such as point-light walkers as coherently moving objects within the very short timeframes ...functional model outlined below addresses these issues ...
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Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding
... how object files can represent complex, unbounded displays such as point-light walkers as coherently moving objects within the very short timeframes ...functional model outlined below addresses these issues ...
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A Neurodynamical cortical model of visual attention and invariant object recognition
... the model A.1. Neurodynamical equations A model of brain functions requires the choice of an appropriate theoretical framework, which permits the investigation and simulation of large-scale biologically ...
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The discrimination ratio derived from novel object recognition tasks as a measure of recognition memory sensitivity, not bias
... The current data also have implications for our understanding of how the NOR task, used to assess recogni- tion memory in rodents, can be interpreted. The assumption in the animal literature that the degree of novelty ...
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Interferon-alpha-induced deficits in novel object recognition are rescued by chronic exercise
... and novel object introduction were evaluated by the exploration of distinct objects placed in an open field using a task design modified from Gobbo et ...
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Interferon-alpha-induced deficits in novel object recognition are rescued by chronic exercise
... Copyright and reuse: City Research Online aims to make research outputs of City, University of London available to a wider audience.. Copyright and Moral Rights remain with the author([r] ...
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Novel object recognition is not affected by age despite age related brain changes
... the novel object recognition task at a delay pe- riod that has been shown to be impaired in aged rats of two different ...standard novel object recognition task with a 50 minutes ...
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Object Recognition, A Particular Reference to Face Recognition
... C. Radial basis function Radial functions are a special class of function. Their characteristic feature is that their response decreases (or increases) monotonically with distance from a central point. The centre, the ...
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Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
... a novel Object Recognition approach based on affine invariant ...the object with matches, and simultaneously separates the correct matches from the wrong ...Hence, recognition and ...
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Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition.
... The importance of recurrent processing for developing selectivity to border ownership further suggests that recurrence has an important role for recognizing occluded objects. To test the effects of occlusion, we ...
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A Spiking Neuron Based Feature Model for Real Time Object Recognition
... hybrid model to perform the detection of some real time ...presented model used the spiking neuron based PCA approach to perform the real time pattern detection over the ...the recognition process, ...
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A Novel Statistical Generative Model Dedicated To Face Recognition
... a novel statistical generative model based on Bayesian Networks and especially tailored to deal with the object to be processed, that is two-dimensional face ...proposed model relies on two ...
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