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» Visualization of the Learning Process Using Concept Mapping
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249
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ICIP
2010
IEEE
15 years 2 months ago
Saliency detection using maximum symmetric surround
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. Recently, full-resolution salient ma...
Radhakrishna Achanta, Sabine Süsstrunk
AAAI
1998
15 years 6 months ago
Iterated Phantom Induction: A Little Knowledge Can Go a Long Way
Weadvance a knowledge-based learning method that augments conventional generalization to permit concept acquisition in failure domains. These are domains in whichlearning must pro...
Mark Brodie, Gerald DeJong
192
Voted
MIR
2006
ACM
157views Multimedia» more  MIR 2006»
15 years 11 months ago
Generating summaries and visualization for large collections of geo-referenced photographs
We describe a framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs. Such large collections are inherently difficult ...
Alexander Jaffe, Mor Naaman, Tamir Tassa, Marc Dav...
CVPR
2008
IEEE
16 years 7 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
CVPR
2010
IEEE
16 years 2 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain