Algorithmic tools are increasingly used in hiring to improve fairness and diversity, often by enforcing constraints such as gender-balanced candidate shortlists. However, we show theoretically and empirically that enforcing equal representation at th...
Unsupervised learning strategy is widely adopted by the deformable registration models due to the lack of ground truth of deformation fields. These models typically depend on the intensity-based similarity loss to obtain the learning convergence. Des...
Tattooed or Tattoed are two words that are confused and usually misspelled due to their similarity. Check which one to use!
To recommend relevant merchandises for seasonal retail events, we rely on item retrieval from marketplace inventory. With feedback to expand query scope, we discuss keyword expansion candidate selection using word embedding similarity, and an enhance...
Gravitational-wave (GW) astronomy has advanced our understanding of compact mergers through instruments like the Laser Interferometer Gravitational-Wave Observatory (LIGO). However, the extreme sensitivity required for these detections makes the inst...
The JavaScript Object Notation (JSON) is a popular data format used in document stores to natively support semi-structured data. In this paper, we address the problem of JSON similarity lookup queries: given a query document and a distance threshold...
An analytical solution to the the three-dimensional telegraph equation is presented. This equation has recently received some attention but so far the treatment has been one-dimensional. By using the structural similarity to the Klein-Gordon equation...
self complement of Sentence Similarity compute based on cilin, hownet, simhash, wordvector,vsm models，基于同义词词林，知网，指纹，字词向量，向量空间模型的句子相似度计算。 (⭐ 365)
Threatened or Threated are two words that are confused and usually misspelled due to their similarity. Check which one to use!
In this work we present a non-parametric online market regime detection method for multidimensional data structures using a path-wise two-sample test derived from a maximum mean discrepancy-based similarity metric on path space that uses rough path s...
C++ library to apply similarity measures and classifications on the results of audio analysis, including Python bindings. Together with Essentia it can be used to compute high-level descriptions of music. (⭐ 292)
? 使用5000张二次元图片生成海报大图，计算颜色相似度。Make a poster with 5000 pictures，Python spider and Color similarity measure (⭐ 383)
Generative AI paraphrased text can be used for copyright infringement and the AI paraphrased content can deprive substantial revenue from original content creators. Despite this recent surge of malicious use of generative AI, there are few academic p...
Is it faceing or facing? The correct word is facing. How to pronounce facing? What does facing mean? Facing or Faceing are two words that are confused and usually misspelled due to their similarity. …
6 days ago · Noun category (plural categories) A group, often named or numbered, to which items are assigned based on similarity or defined criteria.
Learning effective sentence representations is crucial for many Natural Language Processing (NLP) tasks, including semantic search, semantic textual similarity (STS), and clustering. While multiple transformer models have been developed for sentence...
We introduce the cross-match test - an exact, distribution free, high-dimensional hypothesis test as an intrinsic evaluation metric for word embeddings. We show that cross-match is an effective means of measuring distributional similarity between dif...
Performance optimization is an increasingly challenging but often repetitive task. While each platform has its quirks, the underlying code transformations rely on data movement and computational characteristics that recur across applications. This pa...
Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well a...
Transliteration is a task of translating named entities from a language to another, based on phonetic similarity. The task has embraced deep learning approaches in recent years, yet, most ignore the phonetic features of the involved languages. In thi...
SUMMARY ANSWER Although paired endometrial samples collected from the same woman across two consecutive cycles show greater similarity in molecular profile compared to samples from different …
SUMMARY ANSWER Although paired endometrial samples collected from the same woman across two consecutive cycles show greater similarity in molecular profile compared to samples from different …
Submission or Submition are two words that are confused and usually misspelled due to their similarity. Check which one to use!
Contrastive representation learning has proven to be an effective self-supervised learning method for images and videos. Most successful approaches are based on Noise Contrastive Estimation (NCE) and use different views of an instance as positives th...
Alzheimer's Disease (AD) is the most prevalent neurodegenerative disorder in aging populations, posing a significant and escalating burden on global healthcare systems. While Multi-Tusk Learning (MTL) has emerged as a powerful computational paradigm...
SUMMARY ANSWER Although paired endometrial samples collected from the same woman across two consecutive cycles show greater similarity in molecular profile compared to samples from different …
SUMMARY ANSWER Although paired endometrial samples collected from the same woman across two consecutive cycles show greater similarity in molecular profile compared to samples from different …
Submission or Submition are two words that are confused and usually misspelled due to their similarity. Check which one to use!
SUMMARY ANSWER Although paired endometrial samples collected from the same woman across two consecutive cycles show greater similarity in molecular profile compared to samples from different …
Short text is becoming more and more popular on the web, such as Chat Message, SMS and Product Reviews. Accurately classifying short text is an important and challenging task. A number of studies have difficulties in addressing this problem because o...
Apr 18, 2015 · Why could this be useful? Dependant on the morphing algorithm you use, there may be a relationship between similarity of images, and some parameters of the morphing algorithm. In a …
Apr 18, 2015 · Why could this be useful? Dependant on the morphing algorithm you use, there may be a relationship between similarity of images, and some parameters of the morphing algorithm. In a …
This article reviews the application of fragment descriptors at different stages of virtual screening: filtering, similarity search, and direct activity assessment using QSAR/QSPR models. Several case studies are considered. It is demonstrated that t...
Apr 18, 2015 · Why could this be useful? Dependant on the morphing algorithm you use, there may be a relationship between similarity of images, and some parameters of the morphing algorithm. In a …
What does highest mean? Highest or Higest are two words that are confused and usually misspelled due to their similarity. Check which one to use!
Apr 18, 2015 · Why could this be useful? Dependant on the morphing algorithm you use, there may be a relationship between similarity of images, and some parameters of the morphing algorithm. In a …
A content based movie recommender system using cosine similarity (⭐ 189)
Several mating restriction techniques have been implemented in Evolutionary Algorithms to promote diversity. From similarity-based selection to niche preservation, the general goal is to avoid premature convergence by not having fitness pressure as t...
The question of whether people's experience in the world shapes conceptual representation and lexical semantics is longstanding. Word-association, feature-listing and similarity rating tasks aim to address this question but require a subjective inter...
Sharing personal narratives is a fundamental aspect of human social behavior as it helps share our life experiences. We can tell stories and rely on our background to understand their context, similarities, and differences. A substantial effort has b...