• A novel evolutionary model (JBGP) was developed. The JBGP classifies the presence of Arctic charr in Teno River catchment. is superior to jittered decision tree model. Macroinvertebrates, mires and slope are dominant indicators. one fish species most sensitive climate change but studies on their freshwater habitat preferences limited, especially fluvial environment. Machine learning methods o...

With the iminent widespread availablility of digital video broadcasts and the subsequent increase in the demand for broadcast material, image sequence restoration is an increasing source of concern for both archivists and broadcasters. This paper presents a two stage technique for registering the lines in video data digitized from a noisy source. In such situations the horizontal synchronizatio...

Pattern-information approaches to fMRI data analysis are becoming increasingly popular but few studies to date have investigated experimental design optimization for these analyses. Here, we tested several designs that varied in the number of trials and trial timing within fixed duration scans while participants encoded images of animals and tools. Trial timing conditions with fixed onset-to-on...

This paper presents a new approach for achieving distortion-invariant recognition and classification. A test example to be classified is viewed as a query intended to find similar examples in the training set (or class models derived from the training set). The key idea is that instead of querying with a single pattern, we construct a more robust query, based on the fami l y of patterns formed ...

In combination with compressive sensing, a successful reconstruction scheme called Curvelet-based Recovery by Sparsitypromoting Inversion (CRSI) has been developed, and has proven to be useful for seismic data processing. One of the most important issues for CRSI is the sampling scheme, which can greatly affect the quality of reconstruction. Unlike usual regular undersampling, stochastic sampli...

for Deinterleaving Repetitive Sequences G. Noone, S. D. Howard Electronic Warfare Division, Defence Science and Technology Organisation PO Box 1500 Salisbury, South Australia 5108 email: [email protected] & [email protected] Abstract| Conventional algorithms for deinterleaving repetitive sequences, such as radar pulse trains, experience great di culties when two or...