Results 51 to 60 of about 528,886 (272)

Multi-Document Summarization using Distributed Bag-of-Words Model

, 2018
As the number of documents on the web is growing exponentially, multi-document summarization is becoming more and more important since it can provide the main ideas in a document set in short time. In this paper, we present an unsupervised centroid-based
Dey, Lipika, Mani, Kaustubh, Meisheri, Hardik, Verma, Ishan   +3 more
core   +1 more source

Scale Coding Bag-of-Words for Action Recognition

2014 22nd International Conference on Pattern Recognition, 2014
Recognizing human actions in still images is a challenging problem in computer vision due to significant amount of scale, illumination and pose variation. Given the bounding box of a person both at training and test time, the task is to classify the action associated with each bounding box in an image. Most state-of-the-art methods use the bag-of-words
Khan, Fahad Shahbaz, Van De Weijer, Joost, BAGDANOV, ANDREW DAVID, Felsberg, Michael   +3 more
openaire   +4 more sources

Tailoring Vascular‐Immune Homeostasis via Manganese‐DNA Complex‐Armed Immunogenic Extracellular Vesicles for Pancreatic Cancer Immunotherapy

Advanced Science, EarlyView.
This study demonstrates that Mn2⁺–tumor DNA complexes encapsulated in dendritic cell (DC)– derived immunogenic extracellular vesicles (EVDC@Mn‐DNA) act as a DC‐specific cGAS– STING activator. EVDC@Mn‐DNA treatment enhances intratumoral DC activation, improves tumor vascular function, promotes CD8⁺ T cell activity, and suppresses pancreatic tumor growth,
Xue Jiang, Lihuan Shang, Xiaochun Chen, Xiangzhan Kong, Xiaojuan Wang, Linjia Jiang, Huiying Zhao, Yafeng Zhu, Cheng Huang, Shiyi Deng, Rui Zhang, Minghui Wang, Haoming Lin, Ping‐Pui Wong   +13 more
wiley   +1 more source

Commodity Image Classification Based on Improved Bag-of-Visual-Words Model

Complexity, 2021
With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results.
Huadong Sun, Xu Zhang, Xiaowei Han, Xuesong Jin, Zhijie Zhao   +4 more
doaj   +1 more source

Predictive Model for ICU Readmission Based on Discharge Summaries Using Machine Learning and Natural Language Processing

Informatics, 2022
Predicting ICU readmission risk will help physicians make decisions regarding discharge. We used discharge summaries to predict ICU 30-day readmission risk using text mining and machine learning (ML) with data from the Medical Information Mart for ...
Negar Orangi-Fard, Alireza Akhbardeh, Hersh Sagreiya   +2 more
doaj   +1 more source

A words-of-interest model of sketch representation for image retrieval [PDF]

, 2011
In this paper we propose a method for sketch-based image retrieval. Sketch is a magical medium which is capable of conveying semantic messages for user. It’s in accordance with user’s cognitive psychology to retrieve images with sketch.
Guo, Wen-Jin, Liu, Yong-Jin, Luo, Xi, Ma, Cui-Xia, Song, Dawei   +4 more
core  

Image classification by visual bag-of-words refinement and reduction

, 2015
This paper presents a new framework for visual bag-of-words (BOW) refinement and reduction to overcome the drawbacks associated with the visual BOW model which has been widely used for image classification.
Lu, Zhiwu, Wang, Liwei, Wen, Ji-Rong
core   +1 more source

Knitted Pneumatic Fabrics for Dynamic Pressure Modulation in Personalized Healthcare Wearables

Advanced Science, EarlyView.
A pneumatic pressure‐regulating knitted fabric (PPKF) is developed, in which knitted pneumatic circuit enables the seamless integration of ultralow radial expansion pneumatic fiber into dual‐channel textile structure. By strategically modulating channel spacing, delivering adjustable dynamic pressures and clinically relevant gradient compression ratios.
Xiaoyu Chen, Jintu Fan, Rong Zheng, Qing Chen, Fengxin Sun, Huanhuan Liu   +5 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Fuzzy Bag-of-Words Model for Document Representation

IEEE Transactions on Fuzzy Systems, 2018
One key issue in text mining and natural language processing is how to effectively represent documents using numerical vectors. One classical model is the Bag-of-Words (BoW). In a BoW-based vector representation of a document, each element denotes the normalized number of occurrence of a basis term in the document.
Rui Zhao, Kezhi Mao
openaire   +2 more sources