Deep global semantic structure-preserving hashing via corrective triplet loss for remote sensing image retrieval Hongyan Zhou, Qibing Qin, Jinkui Hou, Jiangyan Dai, ... Wenfeng Zhang Article 122105 Article prev
In this paper, we propose a new philosophy different from that of the well-known Locality-Sensitive Hashing (LSH): if two data points are close, we wish that the probability for them to fall into the same hash buckets is high; whereas if two data points are far away, we do not care...
Before single-cell (SC) approaches, cell and tissue characteristics could only be assessed in bulk and from relatively large amounts of starting material. Amplification-based techniques, such as microarrays, bulk RNA sequencing (RNA-seq) and quantitative PCR with reverse transcription (qRT–PCR)7, ...
hashing [2], and pruning, vector quantization and Huffman coding [5] have been proposed in the literature. Additionally various factorizations have been proposed to speed up pretrained networks [14, 20]. Another method for training
A federated patient hashing architecture was created, as well as a unique technique for learning context-specific hash codes to represent patients across institutions. The generated hash codes of corresponding patients may be used to effectively compute the similarities between patients. In k nearest ...
this data structure can be “shared” among the constructions for the piecesSi, which leads to a tighter overall space bound. The method was introduced in the context of cuckoo hashing and its variants, but it seems to have wider applicability. To demonstrate its power and some subtleties, we...
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval CVPR 2017 [code] Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval ICCV 2017 [project] Zero-Shot Sketch-Image Hashing CVPR 2018 SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval CVPR 2018...
Locality-Sensitive Hashing - Locality-Sensitive Hashing (LSH) is an algorithmic technique for approximate nearest neighbor search in high-dimensional vector spaces, commonly used in vector databases to speed up similarity search while reducing memory footprint. (Read more) ANN similarity search high-dim...
Application opening too many Oracle Database Connections application pool automatically disabled due to a series of failures in the processes serving that application pool Application wide variables or globals in asp.net Application_Error in Global.asax not firing Application_Start() not firing Apply CS...
In 2021, sci-Space was developed. It works by spatially labeling nuclei with hashing oligonucleotides, transferring unique combinations of these oligos to tissue slices, and capturing spatial information during scRNA-seq [33]. sci-Space retains single-cell resolution while addressing spatial heterogeneity...