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» Learning the Relative Importance of Features in Image Data
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153
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MICCAI
2005
Springer
16 years 4 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 10 months ago
Visualization techniques for data mining of Latur district satellite imagery
This study presents a new visualization tool for classification of satellite imagery. Visualization of feature space allows exploration of patterns in the image data and insight in...
B. G. Kodge, P. S. Hiremath
ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Learning from Relevance Feedback Sessions using a K-Nearest-Neighbor-Based Semantic Repository
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
Matthew Royal, Ran Chang, Xiaojun Qi
126
Voted
CVPR
2007
IEEE
16 years 5 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
ICPR
2010
IEEE
15 years 9 months ago
New Wavelet and Color Features for Text Detection in Video
Automatic text detection in video is an important task for efficient and accurate indexing and retrieval of multimedia data such as events identification, events boundary identific...
Shivakumara Palaiahnakote, Trung Quy Phan, Chew-Li...