-
1
-
-
60649112225
-
Embedded lattices tree: An efficient indexing scheme for content based retrieval on image databases
-
Mahmoud Mejdoub Embedded lattices tree: an efficient indexing scheme for content based retrieval on image databases Journal of Visual Communication and Image Representation 20 2 2009 145 156
-
(2009)
Journal of Visual Communication and Image Representation
, vol.20
, Issue.2
, pp. 145-156
-
-
Mejdoub, M.1
-
5
-
-
33947169188
-
Visual guided navigation for image retrieval
-
Guoping Qiu Visual guided navigation for image retrieval Pattern Recognition 40 6 2007 1711 1721
-
(2007)
Pattern Recognition
, vol.40
, Issue.6
, pp. 1711-1721
-
-
Qiu, G.1
-
7
-
-
34250796178
-
Image indexing and retrieval based on vector quantization
-
S.W. Teng, and G. Lu Image indexing and retrieval based on vector quantization Pattern Recognition 40 2007 3299 3316
-
(2007)
Pattern Recognition
, vol.40
, pp. 3299-3316
-
-
Teng, S.W.1
Lu, G.2
-
8
-
-
34250168323
-
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
-
Ju. Han, and Kai-Kuang Ma Rotation-invariant and scale-invariant Gabor features for texture image retrieval Image and Vision Computing 25 9 2007 1474 1481
-
(2007)
Image and Vision Computing
, vol.25
, Issue.9
, pp. 1474-1481
-
-
Han, J.1
Ma, K.-K.2
-
9
-
-
0242456421
-
Review of shape representation and description techniques
-
Dengsheng Zhang, and Guojun Lu Review of shape representation and description techniques Pattern Recognition 37 1 2004 1 19
-
(2004)
Pattern Recognition
, vol.37
, Issue.1
, pp. 1-19
-
-
Zhang, D.1
Lu, G.2
-
10
-
-
40549119527
-
Features for image retrieval: An experimental comparison
-
T. Deselaers Features for image retrieval: an experimental comparison Information Retrieval 11 2008 77 107
-
(2008)
Information Retrieval
, vol.11
, pp. 77-107
-
-
Deselaers, T.1
-
11
-
-
1042275194
-
A survey of dimension reduction techniques
-
Lawrence Livermore National Laboratory, US Department of Energy
-
I.K. Fodor, A survey of dimension reduction techniques, Technical Report UCRL- ID-148494, Lawrence Livermore National Laboratory, US Department of Energy, 2002.
-
(2002)
Technical Report UCRL- ID-148494
-
-
Fodor, I.K.1
-
12
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi, and G.H. John Wrappers for feature subset selection Artificial Intelligence 97 1-2 1997 273 324
-
(1997)
Artificial Intelligence
, vol.97
, Issue.12
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
13
-
-
2942731012
-
An extensive empirical study of feature selection metrics for text classification
-
G. Forman An extensive empirical study of feature selection metrics for text classification Journal of Machine Learning Research 3 2003 1289 1305
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1289-1305
-
-
Forman, G.1
-
14
-
-
0037342804
-
Unsupervised feature selection applied to content-based retrieval of lung images
-
J.G. Dy Unsupervised feature selection applied to content-based retrieval of lung images IEEE Transactions on Pattern Analysis and Machine Intelligence 25 3 2003 373 378
-
(2003)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.25
, Issue.3
, pp. 373-378
-
-
Dy, J.G.1
-
20
-
-
33750254654
-
Hans Burkhardt, on using histograms of local invariant features for image retrieval
-
Tsukuba Science City, Japan, May 16-18
-
A. Halawani, Hans Burkhardt, On using histograms of local invariant features for image retrieval, in: Proceedings of IAPR Conference on Machine Vision Applications (MVA 2005), Tsukuba Science City, Japan, May 16-18, 2005, pp. 538-541.
-
(2005)
Proceedings of IAPR Conference on Machine Vision Applications (MVA 2005)
, pp. 538-541
-
-
Halawani, A.1
-
23
-
-
0008458240
-
Analyzing discretizations of continuous attributes given a monotonic discrimination function
-
R. Susmaga Analyzing discretizations of continuous attributes given a monotonic discrimination function Intelligent Data Analysis - An International Journal 1 3 1997 157 179
-
(1997)
Intelligent Data Analysis - An International Journal
, vol.1
, Issue.3
, pp. 157-179
-
-
Susmaga, R.1
-
25
-
-
54949147680
-
Feature selection based on genetic algorithm for image annotation
-
Jianjiang Lu, Tianzhong Zhao, and Yafei Zhang Feature selection based on genetic algorithm for image annotation Knowledge-Based Systems 21 8 2008 887 891
-
(2008)
Knowledge-Based Systems
, vol.21
, Issue.8
, pp. 887-891
-
-
Lu, J.1
Zhao, T.2
Zhang, Y.3
-
26
-
-
67249159255
-
Feature selection and re-weighting in content-based SAR image retrieval
-
Su Xin, Lu Xin, Sun Hong, Feature selection and re-weighting in content-based SAR image retrieval, in: Proceedings of the 9th International Conference on Signal Processing (ICSP), vols. 1-5, 2008.
-
(2008)
Proceedings of the 9th International Conference on Signal Processing (ICSP)
, vol.1-5
-
-
Xin, S.1
Xin, L.2
Hong, S.3
-
27
-
-
62349103880
-
A hybrid probabilistic framework for content-based image retrieval with feature weighting
-
- [28] Michael J.A. Berry
-
Djemel Ziou, Touati Hamri, and Sabri Boutemedjet A hybrid probabilistic framework for content-based image retrieval with feature weighting Pattern Recognition 42 7 2009 1511 1519
-
(2009)
Pattern Recognition
, vol.42
, Issue.7
, pp. 1511-1519
-
-
Ziou, D.1
Hamri, T.2
Boutemedjet, S.3
-
31
-
-
63449086688
-
A smart content-based image retrieval system based on color and texture feature
-
Chuen-Horng Lin A smart content-based image retrieval system based on color and texture feature Image and Vision Computing 27 2009 658 665
-
(2009)
Image and Vision Computing
, vol.27
, pp. 658-665
-
-
Lin, C.-H.1
-
32
-
-
9544250374
-
Content based image retrieval using motif co-occurrence matrix
-
N. Jhanwar Content based image retrieval using motif co-occurrence matrix Image and Vision Computing 22 2004 1211 1220
-
(2004)
Image and Vision Computing
, vol.22
, pp. 1211-1220
-
-
Jhanwar, N.1
-
33
-
-
0036522683
-
Image retrieval by texture similarity
-
P.W. Huang, and S.K. Dai Image retrieval by texture similarity Pattern Recognition 36 3 2003 665 679
-
(2003)
Pattern Recognition
, vol.36
, Issue.3
, pp. 665-679
-
-
Huang, P.W.1
Dai, S.K.2
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