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How plants respond to climate change is of major concern, as plants will strongly impact future ecosystem functioning, food production and climate. Here we investigate how vegetation structure and functioning may be influenced by predicted increases in annual temperatures and atmospheric CO2 concentration, and modeled the extent to which local plant-plant interactions may modify these effects.A canopy...
How plants respond to climate change is of major concern, as plants will strongly impact future ecosystem functioning, food production and climate. Here, we investigated how vegetation structure and functioning may be influenced by predicted increases in annual temperatures and atmospheric CO2 concentration, and modeled the extent to which local plant–plant interactions may modify these effects.A...
In recent years, the theories of Sparse Representation (SR) and Compressed Sensing (CS) have emerged as powerful tools for efficiently processing data in non-traditional ways. An area of promise for these theories is biométrie identification. In this paper, we review the role of sparse representation and CS for efficient biométrie identification. Algorithms to perform identification from face and...
In the field of biometrics evaluation of quality of biometric samples has a number of important applications. The main applications include (1) to reject poor quality images during acquisition, (2) to use as enhancement metric, and (3) to apply as a weighting factor in fusion schemes. Since a biometric-based recognition system relies on measures of performance such as matching scores and recognition...
Biometric-key generation is a process to convert a piece of live biometric data into a key using an auxiliary information, which is also called a biometric helper. A biometric-key can be repetitively generated and the biometric need not be physically stored. In this paper, we introduce a novel biometric-key generation scheme which is based on a randomized biometric helper. This scheme consists of...
In this paper we show how statistical constraints can be incorporated into the surface integration process. This problem aims to reconstruct the surface height function from a noisy field of surface normals. We propose two methods that employ a statistical model that captures variations in surface height. The first uses a coupled model that captures the variation in a training set efface surfaces...
A personal verification task performed by an expert system is a binary classification problem which consists of accepting or rejecting an identity claim. An automatic system for the person identity authentication based only on one type of data is often unable to meet the required performance. The combination of multiple biometric attributes such as, face data, speech, should result in a more reliable...
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