Results 41 to 50 of about 176,187 (274)
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
, 2015 Both parametric and non-parametric approaches have demonstrated encouraging performances in the human parsing task, namely segmenting a human image into several semantic regions (e.g., hat, bag, left arm, face).
Cao, Xiaochun +8 more
core +1 more source
A condition of cooperation. Games on network [PDF]
, 2009 Natural selection is often regarded as a result of severe competition. Defect seems beneficial for a single individual in many cases.However, cooperation is observed in many levels of biological systems ranging from single cells to animals, including ...
Tomohiko Konno
core +2 more sources
AffinityNet: semi-supervised few-shot learning for disease type prediction
, 2018 While deep learning has achieved great success in computer vision and many other fields, currently it does not work very well on patient genomic data with the "big p, small N" problem (i.e., a relatively small number of samples with high-dimensional ...
Ma, Tianle, Zhang, Aidong
core +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Adaptive kNN using Expected Accuracy for Classification of Geo-Spatial Data
, 2017 The k-Nearest Neighbor (kNN) classification approach is conceptually simple - yet widely applied since it often performs well in practical applications.
Atzmueller, Martin +5 more
core +2 more sources
Photoswitchable Conductive Metal–Organic Frameworks
Advanced Functional Materials, EarlyView.A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
Automated Ripeness Detection of Oil Palm Fruit Using a Hybrid GLCM-HSV-KNN Model
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Accurately determining the ripeness of oil palm fruit is crucial for ensuring the quality of palm oil. However, traditional manual methods are often time-consuming and less accurate.
Mirfan +3 more
doaj +1 more source
Challenges in KNN Classification [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2022 The KNN algorithm is one of the most popular data mining algorithms. It has been widely and successfully applied to data analysis applications across a variety of research topics in computer science. This paper illustrates that, despite its success, there remain many challenges in KNN classification, including K computation, nearest neighbor selection,
openaire +1 more source
Advanced Functional Materials, EarlyView.Synergistic interfacial strategy between inorganic ceramic fillers and polymer chains effectively inhibit particle aggregation and interfacial incompatibility. complex covalent and non‐covalent interfacial interactions promote superior uniformity, ultra‐high ceramic filler loading, and strong grain‐to‐grain connectivity, thereby enabling the ...
HakSu Jang +20 more
wiley +1 more source
Comparing Different KNN Parameters Based on Woman Risk Factors to Predict the Cervical Cancer
Journal of Applied Informatics and ComputingCervical cancer remains a major cause of mortality among women, particularly in low-resource regions where access to conventional screening is limited. Early detection through predictive modeling offers a low-cost and non-invasive alternative to clinical
Maria Claudia Saletia +2 more
doaj +1 more source