-
1
-
-
33749264994
-
A survey of content-based image retrieval with high-level semantics
-
Liu Y., Zhang D., Lu G.J., and Ma W.Y. A survey of content-based image retrieval with high-level semantics. Pattern Recognition 40 4 (2007) 262-282
-
(2007)
Pattern Recognition
, vol.40
, Issue.4
, pp. 262-282
-
-
Liu, Y.1
Zhang, D.2
Lu, G.J.3
Ma, W.Y.4
-
3
-
-
34548206655
-
Toward bridging the annotation-retrieval gap in image search
-
Datta R., Ge W., Li J., and Wang J.Z. Toward bridging the annotation-retrieval gap in image search. IEEE Multimedia 14 3 (2007) 24-35
-
(2007)
IEEE Multimedia
, vol.14
, Issue.3
, pp. 24-35
-
-
Datta, R.1
Ge, W.2
Li, J.3
Wang, J.Z.4
-
4
-
-
33847419773
-
Supervised learning of semantic classes for image annotation and retrieval
-
Carneiro G., Chan A.B., Moreno P.J., and Vasconcelos N. Supervised learning of semantic classes for image annotation and retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 29 3 (2007) 394-410
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.3
, pp. 394-410
-
-
Carneiro, G.1
Chan, A.B.2
Moreno, P.J.3
Vasconcelos, N.4
-
6
-
-
54949103024
-
-
ISO/IEC/JTC1/SC29/WG11/N4062, 2001b, Text of ISO/IEC 15938-3 multimedia content description interface part 3: visual, ISO/IEC, 2001.
-
ISO/IEC/JTC1/SC29/WG11/N4062, 2001b, Text of ISO/IEC 15938-3 multimedia content description interface part 3: visual, ISO/IEC, 2001.
-
-
-
-
8
-
-
33646709691
-
-
L. Wang, L. Khan, Automatic image annotation and retrieval using weighted feature selection, Springer Science + Business Media, LLC 2006, Multimedia Tools Applications 29 (1) (2006) 55-71.
-
L. Wang, L. Khan, Automatic image annotation and retrieval using weighted feature selection, Springer Science + Business Media, LLC 2006, Multimedia Tools Applications 29 (1) (2006) 55-71.
-
-
-
-
10
-
-
33750284913
-
Incorporating multiple SVMs for automatic image annotation
-
Qi X.J., and Han Y.T. Incorporating multiple SVMs for automatic image annotation. Pattern Recognition 40 2 (2007) 728-741
-
(2007)
Pattern Recognition
, vol.40
, Issue.2
, pp. 728-741
-
-
Qi, X.J.1
Han, Y.T.2
-
11
-
-
25144492516
-
Efficient feature selection via analysis of relevance and redundancy
-
Yu L., and Liu H. Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research 5 10 (2004) 1205-1224
-
(2004)
Journal of Machine Learning Research
, vol.5
, Issue.10
, pp. 1205-1224
-
-
Yu, L.1
Liu, H.2
-
13
-
-
0242302657
-
Consistency-based search in feature selection
-
Dash M., and Liu H. Consistency-based search in feature selection. Artificial Intelligence 151 1-2 (2003) 155-176
-
(2003)
Artificial Intelligence
, vol.151
, Issue.1-2
, pp. 155-176
-
-
Dash, M.1
Liu, H.2
-
14
-
-
32944455697
-
Similarity-based online feature selection in content-based image retrieval
-
Jiang W., Er G.H., Dai Q.H., and Gu J.W. Similarity-based online feature selection in content-based image retrieval. Transactions on Image Processing 15 3 (2006) 702-712
-
(2006)
Transactions on Image Processing
, vol.15
, Issue.3
, pp. 702-712
-
-
Jiang, W.1
Er, G.H.2
Dai, Q.H.3
Gu, J.W.4
-
15
-
-
34247565455
-
Visual learning of texture descriptors for facial expression recognition in thermal imagery
-
Hernández B., Olague G., Hammoud R., Trujillo L., and Romero E. Visual learning of texture descriptors for facial expression recognition in thermal imagery. Computer Vision and Image Understanding 106 2-3 (2007) 258-269
-
(2007)
Computer Vision and Image Understanding
, vol.106
, Issue.2-3
, pp. 258-269
-
-
Hernández, B.1
Olague, G.2
Hammoud, R.3
Trujillo, L.4
Romero, E.5
-
16
-
-
34547331896
-
-
T.M. Hamdani, A.M. Alimi, F. Karray, Distributed genetic algorithm with bi-coded chromosomes and a new evaluation function for features selection, in: Proceeding of IEEE Congress on Evolutionary Computation, Canada, 2006, pp. 581-588.
-
T.M. Hamdani, A.M. Alimi, F. Karray, Distributed genetic algorithm with bi-coded chromosomes and a new evaluation function for features selection, in: Proceeding of IEEE Congress on Evolutionary Computation, Canada, 2006, pp. 581-588.
-
-
-
-
17
-
-
33748076461
-
A GA-based feature selection and parameters optimization for support vector machines
-
Huang C.L., and Wang C.J. A GA-based feature selection and parameters optimization for support vector machines. Expert Systems with Applications 31 2 (2006) 231-240
-
(2006)
Expert Systems with Applications
, vol.31
, Issue.2
, pp. 231-240
-
-
Huang, C.L.1
Wang, C.J.2
-
18
-
-
28044457385
-
Boosting the distance estimation application to the k-nearest neighbor classifier
-
Amores J., Sebe N., and Radeva P. Boosting the distance estimation application to the k-nearest neighbor classifier. Pattern Recognition Letters 27 3 (2006) 201-209
-
(2006)
Pattern Recognition Letters
, vol.27
, Issue.3
, pp. 201-209
-
-
Amores, J.1
Sebe, N.2
Radeva, P.3
-
19
-
-
0035365392
-
Color and texture descriptors
-
Manjunath B.S., Ohm J.R., Vasudevan V.V., and Yamada A. Color and texture descriptors. IEEE Transactions on Circuits and Systems for Video Technology 11 6 (2001) 703-715
-
(2001)
IEEE Transactions on Circuits and Systems for Video Technology
, vol.11
, Issue.6
, pp. 703-715
-
-
Manjunath, B.S.1
Ohm, J.R.2
Vasudevan, V.V.3
Yamada, A.4
-
21
-
-
54949106454
-
-
ISO/IEC/JTC1/SC29/WG11/N4063, MPEG-7 visual experimentation model (XM), Version 10.0, ISO/IEC, 2001.
-
ISO/IEC/JTC1/SC29/WG11/N4063, MPEG-7 visual experimentation model (XM), Version 10.0, ISO/IEC, 2001.
-
-
-
-
22
-
-
0037991538
-
Improving similarity measures of histograms using smoothing projections
-
Kamarainen J.K., Kyrki V., Ilonen J., and Kalviainen H. Improving similarity measures of histograms using smoothing projections. Pattern Recognition Letters 24 12 (2003) 2009-2019
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.12
, pp. 2009-2019
-
-
Kamarainen, J.K.1
Kyrki, V.2
Ilonen, J.3
Kalviainen, H.4
-
24
-
-
34547355942
-
Automatic image annotation by incorporating feature hierarchy and boosting to scale up SVM classifiers
-
Gao Y.L., Fan J.P., Luo H.Z., Xue X.Y., and Jain R. Automatic image annotation by incorporating feature hierarchy and boosting to scale up SVM classifiers. ACM Multimedia (2006) 901-910
-
(2006)
ACM Multimedia
, pp. 901-910
-
-
Gao, Y.L.1
Fan, J.P.2
Luo, H.Z.3
Xue, X.Y.4
Jain, R.5
|