Knowledge Map is an external visual representation of an individual's ideational knowledge (also called cognitive structure, or propositional, declarative or conceptual), and we deal with two methodologies to produce such representations, Concept Mapping and Ideational Knowledge Mapping. This paper describes and shows samples of the maps the two methodologies produce, compares their graphic ele...

The University of Amsterdam participated in the photo annotation task and the concept-based retrieval task of ImageCLEF 2011. In the per-image evaluation of the photo annotation task, we achieve the highest score overall. For the concept-based retrieval task, we submitted the best visual-only run. For the concept-based retrieval task, we considered three ways to perform visual retrieval: fully ...

Concept mapping is a participatory mixed methodology that enables diverse participant groups to develop shared conceptual frameworks that can be used in a variety of policy contexts to identify or encourage complexity, and the adaptive emergent properties associated with it. The method is consistent with an evolving paradigm of complex adaptive systems thinking and helps groups address complexi...

The spatial inhomogeneity of the retino-striate syslem is summarized by the vector cortical magnification factor. The logarithm of retinal eccentricity provides a good fit to the integrated cortical magnification factor. Under the assumption that the cortical map is analytic (conformal), this implies that a complex logarithmic function of retinal coordinates describes the two-dimensional struct...

In our previous work on visual, appearance-based localization and mapping, we presented in [14] a novel SLAM approach to build visually labeled topological maps. The essential contribution of this work was an adaptive sensor model, which is estimated online, and a graph matching scheme to evaluate the likelihood of a given topological map. Both methods enable the combination of an appearance-ba...

Appearance-based place recognition systems have been shown to be effective for large-scale mapping but have notable shortcomings. Visual bag-of-words dictionaries require offline training, have tens of thousands of words, and are susceptible to changing environments, either due to lighting or physical changes, between training and deployment. Recent advances allow for online 3D mapping and segm...

We introduce the task of visualizing distributed semantic representations by generating images from word vectors. Given the corpus-based vector encoding the word broccoli, we convert it to a visual representation by means of a cross-modal mapping function, and then use the mapped representation to generate an image of broccoli as “dreamed” by the distributed model. We propose a baseline dream s...

This paper describes BUPT-MCPRL systems for TRECVID 2009. We performed experiments in automatic search, HLF extraction, copy detection and event detection tasks. A. Automatic search A semantic-based video search system was proposed and brief description of submitted 10 runs is shown in Table.1. Table 1 The performance of 10 runs for automatic search Run ID infMAP Description F_A_N_BUPT-MCPR1 0....