Results 111 to 120 of about 47,177 (295)
Video Retrieval System for Bridging the Semantic Gap
IEICE Transactions on Information and Systems, 2009 We propose a video ontology system to overcome semantic gap in video retrieval. The proposed video ontology is aimed at bridging of the gap between the semantic nature of user queries and raw video contents. Also, results of semantic retrieval shows not only the concept of topic keyword but also a sub-concept of the topic keyword using semantic query ...
JUNG, Min Young, PARK, Sung Han
openaire +2 more sources
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites
Advanced Materials Technologies, EarlyView.Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves +4 more
wiley +1 more source
Hierarchical micro-blog sentiment classification based on feature fusion
Dianxin kexue, 2016 Sentiment classification is an important issue of opinion mining.It has a high application value to classify sentiment in micro-blogs.As traditional feature selection method has semantic gap,a neural network language model was used to propose a deep ...
Xianying ZHU +5 more
doaj +2 more sources
Prototype-Based Explanation for Semantic Gap Reduction With Distributional Embedding
IEEE AccessThe demand for interpretable models has driven the exploration of explainable approaches grounded in human-friendly case-based reasoning. Among these approaches, prototype-based methods have proven effective in performing case-based reasoning by ...
Hyungjun Joo +4 more
doaj +1 more source
Classification and Image Annotation for Bridging the Semantic Gap
, 2007 The use of digital images is rapidly increasing in digital archives, community databases, as well as on the Web. This creates new challenges for image management and retrieval and promotes the importance of automatic image classification and annotation ...
Muda, Zurina
core
, 2015 Image Segmentation divides a region into sub regions in such a way that the pixels in a sub region are similar. Satellite image segmentation, an application in image segmentation is to extract the patterns using image retrieval systems.
Gopal, Viji +2 more
core +1 more source
Advanced Materials Technologies, EarlyView.Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
A Reformulation of the Semantic Gap Problem in Content-Based Image Retrieval Scenarios
, 2010 This paper considers the notion of the “semantic gap” problem – i.e. how to enable a machine to recognize the semantic properties of an image – as it is commonly formulated in the domain of content-based image retrieval.
Dave Martin +7 more
core +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source