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ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
15 years 3 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
JAIR
2002
101views more  JAIR 2002»
15 years 5 months ago
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of ...
Eugenio Di Sciascio, Francesco M. Donini, Marina M...
TIP
2002
130views more  TIP 2002»
15 years 5 months ago
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
TSMC
2002
110views more  TSMC 2002»
15 years 5 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
PAMI
2007
187views more  PAMI 2007»
15 years 5 months ago
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno,...