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» Explanation-Based Learning for Image Understanding
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MLDM
2009
Springer
14 years 16 days ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
ECCV
2010
Springer
13 years 11 months ago
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Video Frame Identification for Learning Media Content Understanding
This paper presents our latest work on identifying frame content types for understanding learning media content. In particular, we categorize frames into six classes namely, slide...
Ying Li, Chitra Dorai
PKAW
2010
13 years 4 months ago
MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory
How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly const...
Umer Fareed, Byoung-Tak Zhang
CVPR
2009
IEEE
15 years 1 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher