Results 1 to 10 of about 119,019 (262)
The Neural Basis for Spatial Relations [PDF]
AbstractStudies in semantics traditionally focus on knowledge of objects. By contrast, less is known about how objects relate to each other. In an fMRI study, we tested the hypothesis that the neural processing of categorical spatial relations between objects is distinct from the processing of the identity of objects.
Prin X. Amorapanth +2 more
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Axiomatizing Discrete Spatial Relations [PDF]
Qualitative spatial relations are used in artificial intelligence to model commonsense notions such as regions of space overlapping, touching only at their boundaries, or being separate. In this paper we extend earlier work on qualitative relations in discrete space by presenting a bi-intuitionistic modal logic with universal modalities, called UBiSKt.
Sindoni, G, Sano, K, Stell, JG
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On the ternary spatial relation "Between" [PDF]
La relación espacial "entre" es una noción que es intrínsecamente difusa y contextual, y depende, en particular, de la forma de los objetos. La literatura es bastante pobre en esto y las pocas definiciones existentes no tienen en cuenta estos aspectos. En particular, un objeto B que se encuentra en una concavidad de un objeto A/sub 1/ no visible desde ...
Isabelle Bloch +2 more
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The Spatial Relations of Genes [PDF]
Castle(1) has proposed an arrangement of linked genes in three dimensions, based on the assumption that the distance between any two loci is exactly proportional to the observed crossover value. He believes that this system gives a better agreement between observation and expectation than does the hypothesis of a strictly linear arrangement that we ...
Sturtevant, A. H. +2 more
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From Spatial Relations to Spatial Configurations
Spatial Reasoning from language is essential for natural language understanding. Supporting it requires a representation scheme that can capture spatial phenomena encountered in language as well as in images and videos. Existing spatial representations are not sufficient for describing spatial configurations used in complex tasks.
Soham Dan +6 more
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Spatial relation resolution and spatial relation abstraction
This paper attempts to regard spatial relation transformation as an important process in map generalization. The spatial relation generalization can be divided into the components of abstraction: topology, disttance and orientation. The concept ‘spatial relation resolution’ is introduced to describe the constraints of relative spatial relation.
Al Tinghua, Liu Yaolin
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Spatial attention and the apprehension of spatial relations. [PDF]
Seven experiments examined the role of spatial attention in apprehending spatial relations above, below, left, and right. In Experiment 1, visual search was difficult when targets differed from distractors only in the spatial relation between their elements. Reaction time increased linearly with display size with a slope greater than 60 ms/item.
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Decoding Language Spatial Relations to 2D Spatial Arrangements [PDF]
We address the problem of multimodal spatial understanding by decoding a set of language-expressed spatial relations to a set of 2D spatial arrangements in a multi-object and multi-relationship setting. We frame the task as arranging a scene of clip-arts given a textual description. We propose a simple and effective model architecture Spatial-Reasoning
Radevski, Gorjan +3 more
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Spatial Analysis and Fuzzy Relation Equations [PDF]
We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min composition for solving a problem of spatial analysis. We integrate this algorithm in a Geographical Information System (GIS) tool, and the geographical area under study is divided in homogeneous subzones (with respect to the parameters involved) to which ...
F. Di Martino, SESSA, SALVATORE
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Symbol recognition using spatial relations [PDF]
In this paper, we present a method for symbol recognition based on the spatio-structural description of a 'vocabulary' of extracted visual elementary parts. It is applied to symbols in electrical wiring diagrams. The method consists of first identifying vocabulary elements into different groups based on their types (e.g., circle, corner).
KC Santosh +2 more
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