Novel object recognition and object displacement tasks
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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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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DVS benchmark datasets for object tracking, action recognition and object recognition
... visual object recognition and other fields of computer vision ( LeCun et ...flow, object tracking, action recognition, or dynamic scene ...vision tasks such as action recognition ...
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Techniques for Object Recognition in Images and Multi Object Detection
... the object detection based on novel holistic shape descriptor to ground segmentation and perform them ...both object segmentation and object ...
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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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Open set object recognition
... Figure 2.4: Schematic of a residual block [3] 2.2 Open Sets Traditionally, datasets used for data analysis consist of a collection of samples that are labeled into a number of classes. When building a model, some of ...
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An Accumulative Framework for Object Recognition
... The algorithm, which we will henceforth refer to as the Simple K-Space (SKS) algorithm, is invariant to translation, rotation, scale changes, and very robust to partial occlusion and local variations in image brightness. ...
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Neural networks for object recognition
... to novel data, so that even if a trained system has never encountered a particular object before, it can make an `intelligent' response based on its previous experience of similar ...
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Object Detection and Recognition: A Survey
... A novel scale-space FAST-based detector reveals the descriptor sped which is combined with the assembly of a bit-string descriptor whose intensity is compared with each neighborhood key point by sampling ...
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Object Detection and Recognition in Images
... - Object Recognition is a technology in the field of computer ...challenging tasks in computer ...the object in a particular ...Here object detection is a regression problem to ...
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Shape Representations for Object Recognition
... the object of interest and removes the cluttering contours, is of paramount ...good object outline suitable for shape-based ...a novel shape representation, called a chordiogram, which allows us to ...
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Monocular 3d Object Recognition
... detecting object categories has improved dramatically (Felzenszwalb et ...However, recognition means more than just high precision and recall in detection or classification in ...of recognition is to ...
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Optimization for Networks and Object Recognition
... a novel polynomial-time algorithm based on greedy graph-coloring that, while keeping the same finite content packetiza- tion, recovers a significant part of the multiplicative caching ...
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Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding
... but novel face and facial expression, one would expect the infant to correctly re-identify the person observed as “the same individual” across episodes only if he or she exhibited the same motions that he or she ...
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Trajectory recognition as the basis for object individuation: A functional model of object file instantiation and object token encoding
... but novel face and facial expression, one would expect the infant to correctly re-identify the person observed as “the same individual” across episodes only if he or she exhibited the same motions that he or she ...
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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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The role of perceptual load in object recognition
... attention tasks as divided atten- tion tasks, in the sense that they allocate any spare capacity to task-irrelevant stimuli even when there is no incentive to do so (because the spillover of attention to ...
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Probabilistic, features-based object recognition
... of tasks are of interest in object ...individual object recognition, consists of identifying the same exact object in training and test ...one object from the ...individual ...
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Visual Object Recognition
... o Model shape using Gaussian distribution on location between parts.. o Model appearance as pixel templatesy[r] ...
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Expert Object Recognition in video
... Expert Object Recognition in video Matthew S. McEuen Follow this and additional works at: http://scholarworks.rit.edu/theses This Thesis is brought to you for free and open access by the Thesis/Dissertation ...
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