Results 31 to 40 of about 405,178 (360)
Fusing MPEG-7 visual descriptors for image classification [PDF]
This paper proposes three content-based image classification techniques based on fusing various low-level MPEG-7 visual descriptors. Fusion is necessary as descriptors would be otherwise incompatible and inappropriate to directly include e.g.
Eddie Cooke +18 more
core +1 more source
Action recognition with trajectory-pooled deep-convolutional descriptors [PDF]
Visual features are of vital importance for human action understanding in videos. This paper presents a new video representation, called trajectory-pooled deep-convolutional descriptor (TDD), which shares the merits of both hand-crafted features [31] and
Limin Wang, Y. Qiao, Xiaoou Tang
semanticscholar +1 more source
Transform Descriptors for template free reaction classification
Since the explosion of the artificial intelligence-based methods applied to organic synthesis, many research groups have been scouting different possibilities to describe organic reactions incl predicted outcome using various descriptor formats.
Alexander B. E. , Minidis +1 more
core +1 more source
Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying [PDF]
Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a ...
D. Wilson +3 more
core +1 more source
Chemical bond overlap descriptors from multiconfiguration wavefunctions
Chemical bonds are fundamental in chemistry, serving as the foundation for understanding molecular properties. Over time, various theories and descriptors have evolved to characterize these bonds since the inception of quantum mechanics.
Carlos, Santos-Jr, Renaldo, Moura Jr.
core +1 more source
Application of machine learning in MOFs for gas adsorption and separation
Metal–organic frameworks (MOFs) with high specific surface area, permanent porosity and extreme modifiability had great potential for gas storage and separation applications. Considering the theoretically nearly infinite variety of MOFs, it was difficult
Chao Yang +5 more
doaj +1 more source
With the continuous improvement of machine learning methods, building the interatomic machine learning potential (MLP) based on the datasets from quantum mechanics calculations has become an effective technical approach to improving the accuracy of ...
Jiawei Jiang +3 more
doaj +1 more source
Aims: We report the genetic, phenological, agronomic and ampelographic characterization of 27 minor grapevine accessions (Vitis vinifera L.) from the Balearic Islands (Spain).
Sonia Garcia-Muñoz +3 more
doaj +1 more source
A coagulation cascade forms through proteolytic reactions and involves different factors. There are two coagulation pathways, including intrinsic and extrinsic mechanisms, which converge by the formation of factor Xa.
Thi Bich Van Pham, Minh Hao Hoang
doaj +1 more source
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds [PDF]
In this work, we propose an end-to-end framework to learn local multi-view descriptors for 3D point clouds. To adopt a similar multi-view representation, existing studies use hand-crafted viewpoints for rendering in a preprocessing stage, which is ...
Lei Li +4 more
semanticscholar +1 more source

