A model for perceptual grouping based on measurements of spatial correlations is proposed and tested. Gestalt-like grouping experiments were performed to study and quantify the effect of element similarity (shape, luminance) and proximity. Observers reported the horizontal or vertical organization of stimuli with proximity and similarity providing conflicting grouping cues. Proximity grouping w...

Keywords: Perceptual grouping Early human vision Image pixel grouping Local image structure Graph partitioning Normalized cut a b s t r a c t Graph partitioning for grouping of image pixels has been explored a lot, with normalized cut based graph partitioning being one of the popular ones. In order to have a credible allegiance to the perceptual grouping taking place in early human vision, we p...

Perceptual grouping has traditionally been thought to be governed by innate, universal principles. However, recent work has found differences in Japanese and English speakers' non-linguistic perceptual grouping, implicating language in non-linguistic perceptual processes (Iversen, Patel, & Ohgushi, 2008). Two experiments test Japanese- and English-learning infants of 5-6 and 7-8 months of age t...

Photochemically, covalent cycloaddition products of flavoquinone and acetylenic enzyme inhibitors have been prepared and elucidated, which appear analogous to flavoprotein-inhibitor complexes (monoamine and lactate oxidase). The additions occur with inhibitors of general type H C = C — C H < at the C (4a )=N(5 ) azomethine grouping of oxidized flavin. The spectral properties of adducts and thei...

In the paper after a short review of main characteristics of risk management applications, some novel fuzzy calculation based possibilities will be presented, like the hierarchical grouping of risk factors, type-2 fuzzy sets representation and decision making on distance-based operators’ platform. The examples are given from the medical diagnostic and risk factor management. Key-Words: risk man...

In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the information of the initial attribute and reduces the number of its values. In this paper, we propose a new grouping method MODL founded on a Bayesian approach. The method relies on a model space of grouping models and on ...

We consider two types of grouping among users in utility systems. The first type of grouping is from Chen et al. (2014), where each user belongs to a group of users having social ties with it. For this type of utility system, each user’s strategy maximizes its social group utility function, giving rise to the notion of social-aware Nash equilibrium. We prove that, for a valid utility system, if...

We address the challenges of how to model human perceptual grouping in random dot arrays and how perceptual grouping affects human number estimation in these arrays. We introduce a modeling approach relying on a modified k-means clustering algorithm to formally describe human observers' grouping behavior. We found that a default grouping window size of approximately 4° of visual angle describes...

Grouping is an essential process of computer vision. However, measurement of grouping results is not straightforward and is often heuristic. We propose here a method for measuring grouping quality which is based on the following observation: the grouping result provides some information about the true, unknown grouping and reduces its uncertainty. This uncertainty is evaluated by the number of ...

We propose a novel framework for perceptual grouping based on the idea of mixture models, called Bayesian hierarchical grouping (BHG). In BHG, we assume that the configuration of image elements is generated by a mixture of distinct objects, each of which generates image elements according to some generative assumptions. Grouping, in this framework, means estimating the number and the parameters...