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» Unsupervised feature extraction using neuro-fuzzy approach
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TIP
2002
111views more  TIP 2002»
15 years 5 months ago
Synergizing spatial and temporal texture
Temporal texture accounts for a large proportion of motion commonly experienced in the visual world. Current temporal texture techniques extract primarily motion-based features for...
Chin-Hwee Peh, Loong Fah Cheong
DMIN
2009
222views Data Mining» more  DMIN 2009»
15 years 4 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 9 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
TREC
2008
15 years 7 months ago
UTDallas at TREC 2008 Blog Track
This paper describes our participation in the 2008 TREC Blog track. Our system consists of 3 components: data preprocessing, topic retrieval, and opinion finding. In the topic ret...
Bin Li, Feifan Liu, Yang Liu
CVPR
2006
IEEE
16 years 8 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin