Add to ORKGSagerer G, Niemann H. Semantic Networks for Understanding Scenes. Advances in Computer Vision and Machine Intelligence. New York: Springer; 1997
Sagerer G, Kummert F, Socher G. Semantic Models and Object Recognition in Computer Vision. In: Kraus...
Kummert F, Littmann E, Meyering A, Posch S, Ritter H, Sagerer G. Recognition of 3D-Orientation from ...
Auch erschienen in: Sure, York u.a. (Hrsg.): The semantic web. (Lecture notes in computer science ; ...
Interpretation of complex scenes involves analysing multiple objects being composed of several parts...
recent material and references have been added. A semantic network or net is a graph structure for r...
Niemann H, Sagerer G, Schröder S, Kummert F. ERNEST: a semantic network system for pattern understan...
A fundamental goal of computer vision is to discover the semantic information within a given scene, ...
Semantic language resources are increasingly being used beyond language technology applications to c...
Aktract-This paper gives a detailed account of a system environ-ment for the treatment of general pr...
Semantic networks(nets)are graphic notations representing knowledge in patterns of interconnected no...
Deep learning is a type of machine perception method that attempts to model high-level abstractions ...
Moratz R, Eikmeyer H-J, Hildebrandt B, Kummert F, Rickheit G, Sagerer G. Integrating Speech and Sele...
Summarization: Neural networks have achieved in recent years human level performance in various appl...
Scene understanding is the process, often real time, of perceiving, analysing and elaborating an int...
Machine vision plays a more and more important role in the industrial and medical market. In order t...
Sagerer G, Kummert F, Socher G. Semantic Models and Object Recognition in Computer Vision. In: Kraus...
Kummert F, Littmann E, Meyering A, Posch S, Ritter H, Sagerer G. Recognition of 3D-Orientation from ...
Auch erschienen in: Sure, York u.a. (Hrsg.): The semantic web. (Lecture notes in computer science ; ...
Interpretation of complex scenes involves analysing multiple objects being composed of several parts...
recent material and references have been added. A semantic network or net is a graph structure for r...
Niemann H, Sagerer G, Schröder S, Kummert F. ERNEST: a semantic network system for pattern understan...
A fundamental goal of computer vision is to discover the semantic information within a given scene, ...
Semantic language resources are increasingly being used beyond language technology applications to c...
Aktract-This paper gives a detailed account of a system environ-ment for the treatment of general pr...
Semantic networks(nets)are graphic notations representing knowledge in patterns of interconnected no...
Deep learning is a type of machine perception method that attempts to model high-level abstractions ...
Moratz R, Eikmeyer H-J, Hildebrandt B, Kummert F, Rickheit G, Sagerer G. Integrating Speech and Sele...
Summarization: Neural networks have achieved in recent years human level performance in various appl...
Scene understanding is the process, often real time, of perceiving, analysing and elaborating an int...
Machine vision plays a more and more important role in the industrial and medical market. In order t...
Sagerer G, Kummert F, Socher G. Semantic Models and Object Recognition in Computer Vision. In: Kraus...
Kummert F, Littmann E, Meyering A, Posch S, Ritter H, Sagerer G. Recognition of 3D-Orientation from ...
Auch erschienen in: Sure, York u.a. (Hrsg.): The semantic web. (Lecture notes in computer science ; ...