Results 91 to 100 of about 423,040 (338)
Rapid character scoring and tabulation of large leaf‐image libraries using Adobe Bridge
Abstract Premise Digital image libraries are an integral part of specimen‐based research. However, coding and extracting metadata for hundreds of specimens on a personal computer can be complex. In addition, most existing workflows require downsampling or platform switching and do not link character data directly to the images.
Gabriella Rossetto‐Harris+4 more
wiley +1 more source
Learning Using Privileged Information for Zero-Shot Action Recognition [PDF]
Zero-Shot Action Recognition (ZSAR) aims to recognize video actions that have never been seen during training. Most existing methods assume a shared semantic space between seen and unseen actions and intend to directly learn a mapping from a visual space to the semantic space.
arxiv
Bridging the Semantic Gap [PDF]
The present research explores how Hebrew speakers derive meaning from distant noun collocations drawn from the poetry of Yehuda Amichai. The research participants completed a questionnaire where they had to rate the distance between collocated nouns ...
Wasserman-Amir, Dalit
core +2 more sources
Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval [PDF]
In this paper, we investigate the problem of zero-shot sketch-based image retrieval (ZS-SBIR), where human sketches are used as queries to conduct retrieval of photos from unseen categories.
Dey, Sounak+4 more
core +3 more sources
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source
Craniogenetic studies in Sus scrofa: With emphasis on the ‘orbitosphenoid’ problem
Abstract The orbitosphenoid is a skeletal element of the endocranium of extant mammals. However, it has also been described in many of their fossil ancestors. Craniogenetic studies show that it is composed of two types of bone: first, the cartilaginous ala orbitalis and parts of the trabecular plate are transformed by endochondral ossification; second,
Wolfgang Maier, Ulla Lächele, Irina Ruf
wiley +1 more source
This study reports a novel strategy for preparing a biocompatible adhesive hydrogel crosslinked with a muscle tissue‐derived extracellular matrix (MEM) for in situ muscle regeneration. As a natural crosslinker, MEM not only mediates combinatorial polymer networks but also stimulates satellite cells to induce a cell‐free therapeutic solution.
Eun Je Jeon+6 more
wiley +1 more source
Deep learning-based semantic segmentation algorithms have proven effective in landslide detection. For the past decade, convolutional neural networks (CNNs) have been the prevailing approach for semantic segmentation.
Yankui Li+5 more
doaj +1 more source
On Semantic Structure of Hafez's Ghazals [PDF]
One of the stylistic features of Hafez's ghazals is the covert semantic connections of his verses to one another. This causes the semantic structures of his ghazals to appear interrupted, so much so that some researchers have characterized this gap as a ...
asgar salahi
doaj +1 more source
A Semantic Graph-Based Approach for Mining Common Topics From Multiple Asynchronous Text Streams [PDF]
In the age of Web 2.0, a substantial amount of unstructured content are distributed through multiple text streams in an asynchronous fashion, which makes it increasingly difficult to glean and distill useful information.
Guo Weiwei+6 more
core +1 more source