Our vision is for a seminar that encourages the free exchange of ideas around the organizing subject of learning in MCDM and multiobjective optimization. The following programme provides a skeleton of activities we propose. Participants should suggest amendments to this programme as the week progresses. We encourage the spontaneous formation of working and discussion groups among the participan...

Studies on natural communication in shape modeling show that both direct manipulation of geometry and the expression of constraints are essential. Current solutions on constraint-based modeling do not support the verbal management of constraints. This paper presents a scheme to recognize and manage geometry-related constraints verbally. The execution and interpretation of constraint management ...

This paper presents the continuous work towards the development of an interface for music mixing targeted towards expert sound technicians and producers. The mixing interface uses a stage metaphor mapping scheme where audio channels are represented as digital widgets on a 2D surface. These can be controlled by multi touch or by smart tangibles, which are tangible blocks with embedded sensors. T...

Learning of the relation between mathematical effects and the underlying formula is a huge step for learners, which are used to execute rather basic arithmetic calculations up to this point. This usually happens in high school and pupils are often overstrained by the amount of abstraction which is required. In order to help students to overcome this gap, we have developed an application for a m...

Accurate land cover classification information is a critical variable for many applications. This study presents a method to classify land cover using the fusion data of airborne discrete return LiDAR (Light Detection and Ranging) and CASI (Compact Airborne Spectrographic Imager) hyperspectral data. Four LiDAR-derived images (DTM, DSM, nDSM, and intensity) and CASI data (48 bands) with 1 m spat...

A key challenge in multi-source transfer learning is to capture the diverse inter-domain similarities. In this paper, we study different approaches based on Gaussian process models to solve the multi-source transfer regression problem. Precisely, we first investigate the feasibility and performance of a family of transfer covariance functions that represent the pairwise similarity of each sourc...

A novel interactive web application for multi focus and multi sensor image fusion is presented in this paper. Basic averaging, Laplacian pyramid, discrete wavelet transform, block-based fusion, spatial domain multi focus image fusion and optimized region based image fusion methods are also included. Users can explore several image fusion methods and compare these methods easily and efficiently ...

Currently, the research of emergency supplies distribution and decision models mostly focus on deterministic models and exact algorithm. A few of studies have been done on the multi-level distribution network and matheuristic algorithm. In this paper, random processes theory is adopted to establish emergency supplies distribution and decision model for multi-level network. By analyzing the char...