Results 251 to 260 of about 130,939 (282)
Some of the next articles are maybe not open access.
The Export Similarity Index: Some Structural Tests
The Economic Journal, 1983In the September I98I issue of this JOURNAL, Richard Pomfret examines the similarity of non-oil, non-manufactured exports to the EEC from the three recent or prospective entrants (Spain, Greece and Portugal hereafter 'the Three') and from eleven other non-member Mediterranean countries., The technique used by Pomfret is an application of the newly ...
Kellman, Mitchell, Schroder, Tim
openaire +1 more source
INDEX-BASED SIMILARITY SEARCH FOR PROTEIN STRUCTURE DATABASES
Journal of Bioinformatics and Computational Biology, 2004We 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 Çamoglu +2 more
openaire +2 more sources
Design of Linear Equalizers Optimized for the Structural Similarity Index
IEEE Transactions on Image Processing, 2008We propose an algorithm for designing linear equalizers that maximize the structural similarity (SSIM) index between the reference and restored signals. The SSIM index has enjoyed considerable application in the evaluation of image processing algorithms. Algorithms, however, have not been designed yet to explicitly optimize for this measure. The design
Sumohana S. Channappayya +3 more
openaire +2 more sources
Influence of the Smooth Region on the Structural Similarity Index
2009The Structural Similarity (SSIM) Index is a very popular image quality assessment algorithm due to its good performance and simple calculation. This paper analyzes the influence of the smooth region on the performance of SSIM. It was found out that SSIM tends to depend on the quality of the smooth region to assess the quality of the whole image.
Songnan Li, King Ngi Ngan
openaire +1 more source
Envelope parameter calculation of similarity indexing structure
1998Similarity 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.
Xuesheng Bai, Guangyou Xu, Yuanchun Shi
openaire +1 more source
Design of synthesis filter banks for the structural similarity index
2013 IEEE International Conference on Image Processing, 2013The optimal synthesis filter bank (FB) is designed for a given analysis FB by using the structural similarity (SSIM) criteria. Under the assumption that the source signal is a wide sense stationary (WSS) process with known power spectral density (PSD), that the noise is Gaussian white, and that the filter length is equal to the decimation number, the ...
Li Chai 0001 +2 more
openaire +1 more source
Image Structure Subspace Learning Using Structural Similarity Index
2019Literature 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 +2 more
openaire +1 more source
Similar shape retrieval using a structural feature index
Information Systems, 1993Abstract In image database systems, we often want to retrieve images whose contents satisfy certain conditions specified in an iconic query (i.e. queries that involve input images and conditions on them). One type of image data retrieval called ‘shape similarity-based retrieval” involves retrieval of images containing one or more shapes similar to ...
James E. Gary, Rajiv Mehrotra
openaire +1 more source
An Evaluation of Structure Based Similarity Indexes for Collaborative Filtering
2010 Third International Conference on Knowledge Discovery and Data Mining, 2010Recommender systems are significant for web based e-commerce, and collaborative filtering(CF) algorithms are proved to be the most successful recommendation techniques. For CF algorithms, the similarity index is the heart, and many indexes have been proposed.
Yong Chen, Mingsheng Shang 0001
openaire +1 more source
Mining, Indexing, and Similarity Search in Graphs and Complex Structures
22nd International Conference on Data Engineering (ICDE'06), 2006Scalable methods for mining, indexing, and similarity search in graphs and other complex structures, such as trees, lattices, and networks, have become increasingly important in data mining and database management. This is because a large set of emerging applications need to handle new kinds of objects with complex structures, such as trees (e.g., XML ...
Jiawei Han 0001 +2 more
openaire +1 more source