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» Distinctive and compact features
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102
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ICIP
1999
IEEE
16 years 2 months ago
Automatic Image Orientation Detection
Automatic detection and correction of image orientation is of great importance in intelligent image processing. In this paper, we present an automatic image orientation detection ...
Aditya Vailaya, HongJiang Zhang, Anil K. Jain
89
Voted
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 1 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
EMMCVPR
2001
Springer
15 years 5 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
AI
2007
Springer
15 years 28 days ago
Audiences in argumentation frameworks
Although reasoning about what is the case has been the historic focus of logic, reasoning about what should be done is an equally important capacity for an intelligent agent. Reas...
Trevor J. M. Bench-Capon, Sylvie Doutre, Paul E. D...
105
Voted
MICCAI
2005
Springer
16 years 1 months ago
Support Vector Clustering for Brain Activation Detection
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
Defeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann H...