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Found 10 papers, 1 papers with code
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis
This framework is applied to the prediction of the malignancy of lung's nodules.
Built Year Prediction from Buddha Face with Heterogeneous Labels
Buddha statues are a part of human culture, especially of the Asia area, and they have been alongside human civilisation for more than 2, 000 years.
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph
In this paper, we propose a novel use of a knowledge graph, that is constructed on annotated data and pseudo-labeled data.
Constructing a Public Meeting Corpus
In this paper, we propose a full pipeline of analysis of a large corpus about a century of public meeting in historical Australian news papers, from construction to visual exploration.
Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues
Motivated by these limitations, we introduce in this work a multilayer network model to capture the narration of a movie based on its script, its subtitles, and the movie content.
BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha Statues
We introduce BUDA. ART, a system designed to assist researchers in Art History, to explore and analyze an archive of pictures of Buddha statues.
Historical and Modern Features for Buddha Statue Classification
While Buddhism has spread along the Silk Roads, many pieces of art have been displaced.
Understanding Art through Multi-Modal Retrieval in Paintings
In computer vision, visual arts are often studied from a purely aesthetics perspective, mostly by analysing the visual appearance of an artistic reproduction to infer its style, its author, or its representative features.
Context-Aware Embeddings for Automatic Art Analysis
Whereas visual representations are able to capture information about the content and the style of an artwork, our proposed context-aware embeddings additionally encode relationships between different artistic attributes, such as author, school, or historical period.
Multilayer Network Model of Movie Script
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news.
