A multi-scale statistical approach to assess the effects of connectivity of road and stream networks on geomorphic channel condition

A statistical approach to sparse multi-scale phase-based stereo

Pattern Recognition ◽

10.1016/j.patcog.2006.10.019 ◽

2007 ◽

Vol 40 (9) ◽

pp. 2504-2520 ◽

Cited By ~ 6

Author(s):

I. Ulusoy ◽

E.R. Hancock

Keyword(s):

Statistical Approach ◽

Multi Scale

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A statistical approach to multi-scale edge detection

Image and Vision Computing ◽

10.1016/s0262-8856(02)00131-2 ◽

2003 ◽

Vol 21 (1) ◽

pp. 37-48 ◽

Cited By ~ 21

Author(s):

Scott Konishi ◽

Alan Yuille ◽

James Coughlan

Keyword(s):

Edge Detection ◽

Statistical Approach ◽

Multi Scale

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Formulation of a multi-scale watershed ecological model using a statistical approach

10.21079/11681/38862 ◽

2020 ◽

Author(s):

Bruce Pruitt ◽

K. Killgore ◽

William Slack ◽

Ramune Matuliauskaite

Keyword(s):

Aquatic Ecosystems ◽

Statistical Approach ◽

Ecological Model ◽

Multiple Scales ◽

Cost Benefit ◽

Condition Index ◽

Multi Scale ◽

Stream Condition ◽

Ecosystem Studies ◽

General Statistical

The purpose of this special report is to provide a statistical stepwise process for formulation of ecological models for application at multiple scales using a stream condition index (SCI). Given the global variability of aquatic ecosystems, this guidance is for broad application and may require modification to suit specific watersheds or stream reaches. However, the general statistical treatise provided herein applies across physiographies and at multiple scales. The Duck River Watershed Assessment in Tennessee was used, in part, to develop and test this multiscale, statistical approach; thus, it is considered a case example and referenced throughout this report. The findings of this study can be utilized to (1) prioritize water-sheds for restoration, enhancement, and conservation; (2) plan and conduct site-specific, intensive ecosystem studies; and (3) assess ecosystem outcomes (that is, ecological lift) applicable to future with and without restoration actions including alternative, feasibility, and cost-benefit analyses and adaptive management.

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Multi-scale 3D Convolution Fusion Two-Stream Networks for Action Recognition

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2018.17068 ◽

2018 ◽

Vol 30 (11) ◽

pp. 2074

Author(s):

Lifei Song ◽

Liguo Weng ◽

Lingfeng Wang ◽

Min Xia

Keyword(s):

Action Recognition ◽

Stream Networks ◽

Multi Scale

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Investigating the Multimodal Nature of Human Communication

Journal of Psychophysiology ◽

10.1027/0269-8803.23.2.63 ◽

2009 ◽

Vol 23 (2) ◽

pp. 63-76 ◽

Cited By ~ 41

Author(s):

Silke Paulmann ◽

Sarah Jessen ◽

Sonja A. Kotz

Keyword(s):

Visual Information ◽

Empirical Studies ◽

Physical Property ◽

Event Related Potentials ◽

Accurate Information ◽

Human Communication ◽

Channel Condition ◽

Prosodic Cues ◽

Early Processing ◽

Related Potentials

The multimodal nature of human communication has been well established. Yet few empirical studies have systematically examined the widely held belief that this form of perception is facilitated in comparison to unimodal or bimodal perception. In the current experiment we first explored the processing of unimodally presented facial expressions. Furthermore, auditory (prosodic and/or lexical-semantic) information was presented together with the visual information to investigate the processing of bimodal (facial and prosodic cues) and multimodal (facial, lexic, and prosodic cues) human communication. Participants engaged in an identity identification task, while event-related potentials (ERPs) were being recorded to examine early processing mechanisms as reflected in the P200 and N300 component. While the former component has repeatedly been linked to physical property stimulus processing, the latter has been linked to more evaluative “meaning-related” processing. A direct relationship between P200 and N300 amplitude and the number of information channels present was found. The multimodal-channel condition elicited the smallest amplitude in the P200 and N300 components, followed by an increased amplitude in each component for the bimodal-channel condition. The largest amplitude was observed for the unimodal condition. These data suggest that multimodal information induces clear facilitation in comparison to unimodal or bimodal information. The advantage of multimodal perception as reflected in the P200 and N300 components may thus reflect one of the mechanisms allowing for fast and accurate information processing in human communication.

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