Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the SemanticWeb News & Events Publications Current Year Last Year The Year Before Last Research Reports Software
Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the SemanticWeb News & Events Publications Current Year Last Year The Year Before Last Research Reports Software
Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the SemanticWeb News & Events Publications Current Year Last Year The Year Before Last Research Reports Software
Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the SemanticWeb News & Events Publications Current Year Last Year The Year Before Last Research Reports Software
Data Mining (DM) are methodologies for organizing, searching and analyzing digital contents from the web, social media and enterprises as well as multivariate datasets in these contexts. IR models and algorithms [...] include text indexing, query processing, search result ranking, and information extraction for semantic search. DM models and algorithms include pattern mining, rule mining, classification and recommendation
information on users' mental picture and present a novel gaze pooling layer to seamlessly integrate semantic and localized fixation information into a deep image representation. We show that we can robustly [...] information on users' mental picture and present a novel gaze pooling layer to seamlessly integrate semantic and localized fixation information into a deep image representation. We show that we can robustly [...] information on users' mental picture and present a novel gaze pooling layer to seamlessly integrate semantic and localized fixation information into a deep image representation. We show that we can robustly
models on the Web. BibTeX @techreport{LenschKautzGoeseleSeidel2001, TITLE = {A framework for the acquisition, processing, transmission, and interactive display of high quality {3D} models on the Web}, AUTHOR [...] interconnection rules are learned semi-automatically from symmetries within a single object or from semantically corresponding parts across a larger set of example models. The learned discrete and continuous [...] interconnection rules are learned semi-automatically from symmetries within a single object or from semantically corresponding parts across a larger set of example models. The learned discrete and continuous
SA 2020 Tewari, A., Elgharib, M., Mallikarjun B R, et al. 2020. PIE: Portrait Image Embedding for Semantic Control. ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2020) 39 , 6. [DOI] [PuRe] [BibTeX] [...] version] Export BibTeX @article{Tewari_ToG2020, TITLE = {{PIE}: {P}ortrait Image Embedding for Semantic Control}, AUTHOR = {Tewari, Ayush and Elgharib, Mohamed and Mallikarjun B R and Bernard, Florian [...] Computer Graphics, MPI for Informatics, Max Planck Society %T PIE: Portrait Image Embedding for Semantic Control : %G eng %U http://hdl.handle.net/21.11116/0000-0007-9B0C-E %R 10.1145/3414685.3417803 %7
