Association-memory is a major focus of verbal memory research. However, experimental paradigms have only occasionally tested memory for the order of the constituent items (AB versus BA). Published models of associationmemory, implicitly, make clear assumptions about whether associations are learned without order (e.g., convolution-based models) or with unambiguous order (e.g., matrix models). S...

Color modelling and extraction is an important topic in fashion. It can help build a wide range of applications, for example, recommender systems, color-based retrieval, fashion design, etc. We aim to develop test models that extract the dominant colors clothing accessory items. The approach we propose has three stages: (1) Mask-RCNN segment items, (2) cluster into predefined number groups, (3)...

Extending the proposal made by Schulz (2003), we put forward a pragmatic account of the meaning of existential and universal FC items, where the ‘ignorance or indifference’ inference triggered by the former and the ‘universal’ inference triggered by the latter are treated as implicatures obtained by standard gricean reasoning formalized in terms of the two operations grice and competence. On th...

Sensor network technology is pushing towards integration into the business world. By using sensor node hardware to augment real life business items it is possible to capture the world and support processes where they actually happen. Many problems of the business logic running our world can be efficiently implemented “on the item”. In order for these smart items to couple back to the virtualize...