Cartographers have long adhered to the view of the map as primarily a medium of communication [1]. Recently, influenced by ideas of scientific visualization and exploratory data analysis, they started to pay more attention to the role of the map as a tool to support visual thinking and decision making [2,3]. To play this role effectively, the map needs two principal additions: interaction and d...

Cartographers have long adhered to the view of the map as primarily a medium of communication [1]. Recently, influenced by ideas of scientific visualization and exploratory data analysis, they started to pay more attention to the role of the map as a tool to support visual thinking and decision making [2,3]. To play this role effectively, the map needs two principal additions: interaction and d...

In this paper, we propose a novel approach to statistical modelbased voice activity detection (VAD) that incorporates a secondorder conditional maximum a posteriori (MAP) criterion. As a technical improvement for the first-order conditional MAP criterion in [1], we consider both the current observation and the voice activity decision in the previous two frames to take full consideration of the ...

1. Cartographers have long adhered to the view of the map as primarily a medium of communication (MacEachren 1995). Recently, influenced by ideas of scientific visualization and exploratory data analysis, they started to pay more attention to the role of the map as a tool to support visual thinking and decision making (MacEachren 1994, MacEachren and Kraak, 1997). To play this role effectively,...

An algorithm is proposed to build large, highly detailed acoustic models for context dependent units using a limited amount of training data. Robustness of the parameter estimates in face of data sparsity is addressed by using MAP distribution smoothing. Context dependent distributions are first clustered using a decision tree-based algorithm with an ML objective. These decision trees are then ...

Here, u is a p-dimensional decision variable, x is an n-dimensional parameter vector, X is a nonempty set-valued map from R to R, which specifies a feasible decision set, and f is an objective map from R × R to R, wherem, n, p are positive integers. The norms of all finite dimensional spaces are denoted by ‖ · ‖. C is a closed convex pointed cone with nonempty interior in R. The cone C induces ...

This paper introduces how to apply rough set classification and attribute reduction method in map generalization and provides solutions to several special cases arising in the map spatial data processing. Unlike the analysis in the past which focused solely on the attribute data of map, in this paper, rough set attribute decision table specific for the features of map data is created on the bas...

Le Havre agglomeration (CODAH) includes 16 establishments classified Seveso with high threshold. In the literature, we construct vulnerability maps to help decision makers assess the risk. Such approaches remain static and do take into account the population displacement in the estimation of the vulnerability. We propose a decision making tool based on a dynamic vulnerability map to evaluate th...

Tsunamis are caused by the displacement of a large volume of water, generally in an ocean or a sea. Earthquakes, volcanic eruptions and other underwater explosions, landslides, glacier calvings, meteorite impacts and other disturbances above or below water have the potential to generate a tsunami. The coastal areas of Kollam district, the present study area was seriously affected by the catastr...