In this paper, a new robust orientation estimation for Coherence Enhancement Diffusion (CED) is proposed. In CED, proper scale selection is very important as the gradient vector at that scale reflects the orientation of local ridge. For this purpose, a new scheme is proposed in which pre calculated orientation, by using orientation diffusion, is used to find the correct true local scale. From t...

This paper investigates the contribution of the German Vorfeld to local coherence. We report on the annotation of a corpus of parliament debates with a small set of coarse-grained labels, marking the functions of the Vorfeld constituents. The labels encode referential and discourse relations as well as non-relational functions. We achieve interannotator agreement of κ = 0.66. Based on the annot...

limited seismic data quality and complex tectonics make for less than ideal interpretation conditions. however, modern geometric attributes including coherency has shown to be effective in showing the lateral extents of subtle and small-scale geologic features not usually visible in conventional seismic sections. this geometric attributes are better suited than some older generation seismic att...

In normal viewing, the visual system effortlessly assigns approximately constant attributes of color and shape to perceived objects. A fundamental component of this process is the compensation for illuminant variations and intervening media to recover reflectance properties of natural surfaces. We exploited the phenomenon of transparency perception to explore the cortical regions implicated in ...

This paper introduces the problem of measuring coherence in Machine Translation. Previously, local coherence has been assessed in a monolingual context using essentially coherent texts. These are then artificially shuffled to create an incoherent one. We investigate existing models for the task of measuring the coherence of machine translation output. This is a much more challenging case where ...

To study the interplay between hippocampus and medial prefrontal cortex (Pfc) and its importance for learning and memory consolidation, we measured the coherence in theta oscillations between these two structures in rats learning new rules on a Y maze. Coherence peaked at the choice point, most strongly after task rule acquisition. Simultaneously, Pfc pyramidal neurons reorganized their phase, ...

[1] We introduce a coherence measure for seismic signal enhancement through incoherent noise attenuation. Our processing tool is designed for densely spaced arrays and identifies signals by their coherent appearance. The approach is based on the determination of the lateral phase coherence as function of distance, time, frequency, and slowness. The coherence is derived from the local phases of ...

Coherence is a fundamental tool in the analysis of neuronal data and for studying multiscale interactions of single and multiunit spikes with local field potentials. However, when the coherence is used to estimate rhythmic synchrony between spiking and any other time series, the magnitude of the coherence is dependent upon the spike rate. This property is not a statistical bias, but a feature o...

Despite intergovernmental calls for greater policy coherence to tackle rising non-communicable diseases (NCDs), there has been a striking lack of coherence internationally and nationally between trade and health sectors. In this commentary, I explore the arguments by Lenucha and Thow in relation to barriers for greater coherence for NCDs, apply them to regional trade ag...

To explore the operation of large-scale networks in the cerebral cortex, we sought to measure the functional interdependence of event-related local "eld potentials (LFPs) from di!erent cortical areas in macaque monkeys performing a visuomotor pattern discrimination task. To track the transformation of functional interdependence accompanying rapid changes in cognitive state, we developed a metho...