„Feature Model“

Suchergebnisse

3.502 Treffer

• Hyperspectral image classification using multi-task feature leverage with multi-variant deep learning
  Jayapriya, Kalyanakumar ; Jacob, Israel Jeena ; Darney, Paulraj Ebby
• A probabilistic framework for weighted combination of multiple-feature classifications of hyperspectral images
  Seifi Majdar, Reza ; Ghassemian, Hassan
• Fuzzy spatial relation ontology driven detection of complex geospatial features in a web service environment
  He, Lianlian ; Yue, Peng ; Jiang, Liangcun ; Zhang, Mingda
• Deep and machine learnings of remotely sensed imagery and its multi-band visual features for detecting oil palm plantation
  Puttinaovarat, Supattra ; Horkaew, Paramate
• A Qualitative study of Some Meteorological Features During tropical Cyclone PHET Using Satellite Observations and WRF Modeling System
  Panda, Jagabandhu ; Singh, Harvir ; Wang, Pao K. ; Giri, R. K. ; Routray, Ashish
• LUADpp: an effective prediction model on prognosis of lung adenocarcinomas based on somatic mutational features
  Yu, Jiaxian ; Hu, Yueming ; Xu, Yafei ; Wang, Jue ; Kuang, Jiajie ; Zhang, Wei ; Shao, Jianlin ; Guo, Dianjing ; Wang, Yejun
• Performance evaluation of textural features in improving land use/land cover classification accuracy of heterogeneous landscape using multi-sensor remote sensing data
  Mishra, Varun Narayan ; Prasad, Rajendra ; Rai, Praveen Kumar ; Vishwakarma, Ajeet Kumar ; Arora, Aman
• Application of feature selection and regression models for chlorophyll-a prediction in a shallow lake
  Li, Xue ; Sha, Jian ; Wang, Zhong-Liang
• Collaborative Representation-Based Binary Hypothesis Model with Multi-features Learning for Target Detection in Hyperspectral Imagery
  Zhao, Chunhui ; Li, Wei
• Extraction and representation of common feature from uncertain facial expressions with cloud model
  Wang, Shuliang ; Chi, Hehua ; Yuan, Hanning ; Geng, Jing
• A two-phase algorithm for point-feature cartographic label placement
  Ding, Yuan ; Jiang, Nan ; Wu, Changbin ; Zhou, XinXin
• 3D chick embryo chorioallantoic membrane model as an in vivo model to study morphological and histopathological features of feline fibrosarcomas
  Zabielska-Koczywąs, Katarzyna ; Wojtkowska, Agata ; Dolka, Izabella ; Małek, Anna ; Walewska, Magdalena ; Wojtalewicz, Anna ; Żbikowski, Artur ; Lechowski, Roman
• Modelling of features of fusion using a hybrid swarm optimization algorithm with deep learning methodology for copy-move image forgery detection
  Sharma, Alesh Kumar ; Tiwari, Ritu ; Dixit, Rahul ; Yadav, Mahendra Pratap
• Hybrid Fuzzy-Markov chain model for feature reduction in cancer DNA sequence classification
  Kalal, Vijay ; Jha, Brajesh Kumar
• Mixed multi-branch feature fusion model for efficient automatic building extraction from high-resolution remote sensing images
  Liu, Yaohui ; Zhang, Shuzhe ; Wang, Xinkai ; Chen, Taoyi ; Jiang, Hu ; Su, Fei
• Analytical softmax temperature setting from feature dimensions for model- and domain-robust classification
  Hasegawa, Tatsuhito ; Fujino, Kyosuke ; Sakai, Shunsuke
• Temporal progression of pathological features in an α-synuclein overexpression model of Parkinson’s disease
  Vaquero-Rodríguez, Andrea ; Razquin, Jone ; Murueta-Goyena, Ane ; Miguelez, Cristina ; Ruíz-Ortega, José Ángel ; Lafuente, José Vicente ; Bengoetxea, Harkaitz ; Ortuzar, Naiara
• Multi-model anomaly detection for industrial inspection with dynamic loss weighting and soft-hard features loss
  Hendria, Willy Fitra ; Kim, Hanbi ; Seo, Daeho
• Identifying Primary Brain Tumors and Lung Cancer Brain Metastases by Training XGBoost Models Based on Radiomics Features from Brain MRI Data
  Liu, Qi ; Liu, Haikuan ; Xu, Jianyu ; Shao, Wencheng ; Bai, Yanling
• Incorporating buccal mass planar mechanics and anatomical features improves neuromechanical modeling of Aplysia feeding behavior
  Bennington, Michael J. ; Liao, Ashlee S. ; Sukhnandan, Ravesh ; Kundu, Bidisha ; Rogers, Stephen M. ; Gill, Jeffrey P. ; McManus, Jeffrey M. ; Sutton, Gregory P. ; Chiel, Hillel J. ; Webster-Wood, Victoria A.