In this paper, we investigate a principled approach for defining and discovering probabilistic mappings between two taxonomies. First, we compare two ways of modeling probabilistic mappings which are compatible with the logical constraints declared in each taxonomy. Then we describe a generate and test algorithm which minimizes the number of calls to the probability estimator for determining th...

Harmful Algal Blooms (HABs), caused by Cochlodinium polykrikoides that causative fishery mortality, impact on aquaculture and economic loss appear particularly in summer and fall seasons in the Korean seas. It was studied on characteristics of HABs in the South Sea of Korea by using satellite and in-situ data. The in-situ data encompassed oceanic and meteorological data from July to October 200...

■ Spatial pixel sizes for multispectral and hyperspectral sensors are often large enough that numerous disparate substances can contribute to the spectrum measured from a single pixel. Consequently, the desire to extract from a spectrum the constituent materials in the mixture, as well as the proportions in which they appear, is important to numerous tactical scenarios in which subpixel detail ...

Automatically providing semantics to multimedia objects is still a major open problem. In this paper we describe recent advances within this context and how they have been implemented within the Scenique image retrieval and browsing system. Scenique is based on a multi-dimensional model, where each dimension is a tree-structured taxonomy of concepts, also called semantic tags, that are used to ...

CUIDADO [16] and ECRINS [7] are new projects which aims at providing content-based music applications . Among these applications is an authoring tool for managing sample databases. It includes search by similarity, search by textual attributes, but also automatic sound classification based on predefined taxonomies and user defined taxonomies. This last point raises a crucial issue concerning th...

Algorithms for constructing hierarchical structures from user-generated metadata have caught the interest of the academic community in recent years. In social tagging systems, the output of these algorithms is usually referred to as folksonomies (from folk-generated taxonomies). Evaluation of folksonomies and folksonomy induction algorithms is a challenging issue complicated by the lack of gold...

Prototype Selection and Prototype Generation are two lively research fields. As time goes by, new methods are developed following the basic guidelines that any Prototype Reduction algorithm should accomplish. These new methods often offer to the comunity different viewpoints to the problem, as well as better and more efficient approaches. This technical report provides a survey of the newest Pr...

We propose an iterative crowd-enabled active learning algorithm for building high-precision visual classifiers from unlabeled images. Our method employs domain experts to identify a small number of examples of a specific visual event. These expert-labeled examples seed a classifier, which is then iteratively trained by active querying of a non-expert crowd. These non-experts actively refine the...

A growing number of Internet sites provide patients with an opportunity to share experiences about their illness. Unfortunately, it depends on the luck of the draw whether patients find compatible others for mutual support. To improve this situation, this paper demonstrates how tools from Information Retrieval can be deployed to discover patients with compatible stories more systematically. We ...

Introduction Characterizing mentions found in clinical texts that support, refute, or represent uncertainty for suspected pneumonia is one area where automated Natural Language Processing (NLP) screening algorithms could be improved. Mentions of uncertainty and negation commonly occur in clinical texts, and opportunities exist to extend existing algorithms [1] and taxonomies [2]. In general the...