This paper presents a new, simple and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simpler partition models in order to finally get a more reliable, accurate and a non-overlapped image result. The main objective

a massive increase in the sophistication of the computation that is performed within the network. They will enable new applications, especially those based on application-specific multicast, information fusion, and other services that leverage network-based computation and storage. Furthermore

in those parameters. Our analysis is based on a shortcut fusion approach which turns out to be effective in the case of accumulations. We present benchmarks that illustrate the impact of shortcut fusion on accumulations. 1.

Abstract—In this paper, we propose the pre-processor based on the Evidence Supporting Measure of Similarity (ESMS) filter and also propose the unified fusion approach (UFA) based on the general fusion machine coupled with ESMS filter, which improve the correctness and precision of information

In this paper, we describe a fusion approach to finding opinion about a given target in blog postings. We tackled the opinion blog retrieval task by breaking it down to two sequential subtasks: ontopic retrieval followed by opinion classification. Our opinion retrieval approach was to first apply

This paper propose two decision fusion-based multitemporal classifiers, namely, the jointly likelihood and the weighted majority fusion classifiers, that are derived using two different definitions of the minimum expected cost. Without any overhead incurred by multitemporal processing, a user

and feature level integration, and proposes a new multilevel fusion approach for enhancing the person dependant and person independent classification performance for different emotions. Two different audiovisual emotion data corpora was used for the evaluating the proposed fusion approach- DaFEx[1

and in addition we ran a number of tests combining this type of search with OKAPI BM25 searches using a fusion approach. All transla-tion for bilingual tasks was performed using the LEC Power Translator PC-based MT system. Our results were good overall with Cheshire systems runs appearing in the top 5

Human age prediction is useful for many applications. The age information could be used as a kind of semantic knowledge for multimedia content analysis and understanding. In this paper we propose a Probabilistic Fusion Approach (PFA) that produces a high performance estimator for human age

Summary: Image fusion is desired when both high spectral and spatial resolution are required. This paper focused on fusion of hyper-spectral and multispectral images in order to have both high spatial and special resolutions on one image. Two fusion approaches, namely, high pass filter (HPF) fusion