Structural similarity index - Open Access .click

Results 241 to 250 of about 531,050 (289)

Some of the next articles are maybe not open access.

Journal of Bioinformatics and Computational Biology, 2004
We propose new methods for finding similarities in protein structure databases. These methods extract feature vectors on triplets of SSEs (Secondary Structure Elements) of proteins. The feature vectors are then indexed using a multidimensional index structure.
Orhan, Camoglu, Tamer, Kahveci, Ambuj K, Singh +2 more
openaire +2 more sources

Shot Boundary Detection Using Structural Similarity Index

2015 Fifth International Conference on Advances in Computing and Communications (ICACC), 2015
Shot boundary detection (SBD) is the first step towards video indexing and content based video management. Due to availability of low cost storage media devices, and broadband data connection, digital videos are becoming widely used. However, the increasing availability of digital video has not been accompanied by an increase in its ease of ...
B. Srilakshmi, R. Sandeep
openaire +1 more source

A local intensity adaptive structural similarity index

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Existing structural similarity (SSIM) index comprises of one term on luminance comparison and the other term on contrast and structure comparison. In this paper, the SSIM index is first improved by introducing three weighting factors to the second term such that it is adaptive to local intensities of two images to be compared. The improved SSIM (iSSIM)
Zhengguo Li +3 more
openaire +1 more source

Towards index-based similarity search for protein structure databases

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2004
We propose two methods for finding similarities in protein structure databases. Our techniques extract feature vectors on triplets of SSEs (Secondary Structure Elements) of proteins. These feature vectors are then indexed using a multidimensional index structure.
Orhan, Camoğlu, Tamer, Kahveci, Ambuj K, Singh +2 more
openaire +2 more sources

Distance-Based Index Structures for Fast Similarity Search

Cybernetics and Systems Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source

Latent Semantic Structure Indexing (LaSSI) for Defining Chemical Similarity

Journal of Medicinal Chemistry, 2001
A novel method for computing chemical similarity from chemical substructure descriptors is described. This new method, called LaSSI, uses the singular value decomposition (SVD) of a chemical descriptor-molecule matrix to create a low-dimensional representation of the original descriptor space.
R D, Hull +5 more
openaire +2 more sources

Image Structure Subspace Learning Using Structural Similarity Index

2019
Literature has shown that Mean Squared Error is not a promising measure for image fidelity and similarity assessment, and Structural Similarity Index (SSIM) can properly handle this aspect. The existing subspace learning methods in machine learning are based on Euclidean distance or MSE and thus cannot properly capture the structural features of images.
Benyamin Ghojogh, Fakhri Karray, Mark Crowley +2 more
openaire +1 more source

A New Local Self-Similarity Descriptor Based on Structural Similarity Index

Applied Mechanics and Materials, 2014
The local self-similarity descriptor is a kind of important image or video local feature description method. It is often used for detection, identification and recognition. In this paper we propose a new local self-similarity descriptor based on structural similarity (SSIM) index.
Hong Bo Yang, Xia Hou
openaire +1 more source

Transactions in GIS, 2019
AbstractUnderstanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources and each describes unique mobility characteristics. Revealing similarity and difference in mobility data sources facilitates grasping comprehensive human mobility ...
Chanwoo Jin +3 more
openaire +1 more source

Envelope parameter calculation of similarity indexing structure

1998
Similarity Indexing is very important for content-based retrieval on large multimedia databases, and the “tightness” of data set envelope is a factor that influences the performance of index. For equidistant envelope (bounding sphere), calculation of envelope is somewhat difficult because of the complexity of direct computation in high dimension space.
Bai Xuesheng, Xu Guangyou, Shi Yuanchun
openaire +1 more source

deep learning
link prediction