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» Semi-supervised boosting using visual similarity learning
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135
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ICANN
2005
Springer
15 years 8 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner
IUI
2009
ACM
16 years 7 days ago
MediaGLOW: organizing photos in a graph-based workspace
We designed an interactive visual workspace, MediaGLOW, that supports users in organizing personal and shared photo collections. The system interactively places photos with a spri...
Andreas Girgensohn, Frank M. Shipman III, Lynn Wil...
128
Voted
3DPVT
2004
IEEE
131views Visualization» more  3DPVT 2004»
15 years 7 months ago
Neural Mesh Ensembles
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
Ioannis P. Ivrissimtzis, Yunjin Lee, Seungyong Lee...
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 7 months ago
NPIC: Hierarchical Synthetic Image Classification Using Image Search and Generic Features
We introduce NPIC, an image classification system that focuses on synthetic (e.g., non-photographic) images. We use class-specific keywords in an image search engine to create a no...
Fei Wang, Min-Yen Kan
113
Voted
ICIAR
2007
Springer
15 years 9 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang