Results 271 to 280 of about 624,160 (323)
A Benchmark Set of Bioactive Molecules for Diversity Analysis of Compound Libraries and Combinatorial Chemical Spaces. [PDF]
J Chem Inf ModelNeumann A, Klein R.
europepmc +1 more source
Wikidata for botanists: benefits of collaborating and sharing Linked Open Data. [PDF]
Ann Botvon Mering S +3 more
europepmc +1 more source
Conformal inference for reliable single cell RNA-seq annotation. [PDF]
BioinformaticsLópez-De-Castro M +3 more
europepmc +1 more source
Genetic data normalization for genomic medicine: a Fast Healthcare Interoperability Resources Genomics reference implementation. [PDF]
J Am Med Inform AssocDolin RH +9 more
europepmc +1 more source
RNAhub-an automated pipeline to search and align RNA homologs with secondary structure assessment. [PDF]
Nucleic Acids ResMagnus M +4 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
IEEE Transactions on Software Engineering, 1980
Query-by-Pictorial-Example is a relational query language introduced for manipulating queries regarding pictorial relations as well as conventional relations. In addition to the manipulating capabilities of the conventional query languages, queries can also be expressed in terms of pictorial examples through a display tenninal. Example queries are used
Ning-San Chang, King-Sun Fu
openaire +3 more sources
Query-by-Pictorial-Example is a relational query language introduced for manipulating queries regarding pictorial relations as well as conventional relations. In addition to the manipulating capabilities of the conventional query languages, queries can also be expressed in terms of pictorial examples through a display tenninal. Example queries are used
Ning-San Chang, King-Sun Fu
openaire +3 more sources
Proceedings of the sixth ACM international conference on Multimedia - MULTIMEDIA '98, 1998
This paper considers some of the problems we found trying to extract meaning from images in database applications, and proposes some ways to solve them. We argue that the meaning of an image is an ill-defined entity, and it is not in general possible to derive from an image the meaning that the user of the database wants.
Simone Santini, Ramesh Jain
openaire +3 more sources
This paper considers some of the problems we found trying to extract meaning from images in database applications, and proposes some ways to solve them. We argue that the meaning of an image is an ill-defined entity, and it is not in general possible to derive from an image the meaning that the user of the database wants.
Simone Santini, Ramesh Jain
openaire +3 more sources