Intentionalism is the claim that the phenomenological properties of a perceptual experience supervene on its intentional properties. The paper presents a counterexample to this claim, one that concerns visual grouping phenomenology. I argue that this example is superior to superficially similar examples involving grouping phenomenology offered by Peacocke (1983), because the standard intentiona...

There are distinct techniques to generate fuzzy implication functions. Despite most of them using the combination associative aggregators and negations, other connectives such as (general) overlap/grouping functions may be a better strategy. Since these possibly non-associative operators have been successfully used in many applications, decision making, classification image processing, idea thi...

As IT systems become more complex and the number of users increases dramatically, automation of user management tasks becomes a high priority for administrators. Grouping users intelligently based on their interactions with the system can serve two purposes. First, it can supply administrators with a global view of the user pool via meaningful user classes that are based on the actual system us...

We propose a new object recognition system based on local features and their flexible spatial configuration within a probabilistic framework. Although the training set consists of only 1 image of the object, the system is able to recognize that same object under large rigid and/or non-rigid deformations. This is possible due to the robustness of the local features and of the pairwise geometric ...

Big data make it possible to mine learning information for insights regarding student performance in foreign language learning (FLL). Group-based learning is a usual method to improve FLL, whose effectiveness is greatly influenced by student groups. The general grouping method is to divide students into groups by their teacher manually, which is not timely or accurate. To overcome the shortcomi...

We present a recurrent neural network for feature binding and sensory segmentation: the competitive-layer model (CLM). The CLM uses topographically structured competitive and cooperative interactions in a layered network to partition a set of input features into salient groups. The dynamics is formulated within a standard additive recurrent network with linear threshold neurons. Contextual rela...

Perceptual grouping is well known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of such groupings. Recent psychophysical and neurophysiological evidence have shown that the grouping process can facilitate rapid synchronization of the cells that are bound togeth...

A number of leading theories (e.g., Grossberg & Mingolla, 1985; Kellman & Shipley, 1991; Rensink & Enns, 1995) commonly assume that perceptual grouping by contour alignment occurs preattentively across reversing contrast polarity elements. We examined this notion in seven visual search experiments. We found that only grouping by attachment supported preattentive visual search and that grouping ...