-
1
-
-
37249052124
-
Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
-
Deb, K., Saxena, D.: Searching for pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. In: IEEE Congress on Evolutionary Computation. (2006) 3353-3360
-
(2006)
IEEE Congress on Evolutionary Computation
, pp. 3353-3360
-
-
Deb, K.1
Saxena, D.2
-
2
-
-
37249066901
-
Nonlinear component analysis based on correntropy
-
Wu, J.X., Pokharel, P., Paiva, A., Principe, J.C.: Nonlinear component analysis based on correntropy. In: IEEE Congress on Evolutionary Computation. (2006) 3517-3521
-
(2006)
IEEE Congress on Evolutionary Computation
, pp. 3517-3521
-
-
Wu, J.X.1
Pokharel, P.2
Paiva, A.3
Principe, J.C.4
-
4
-
-
33750743381
-
-
Weinberger, K.Q., Saul, L.K.: An introduction to nonlinear dimensionality reduction by maximum variance unfolding. In: In Proceedings of the National Conference on Artificial Intelligence (AAAI), Nectar paper. (2006)
-
Weinberger, K.Q., Saul, L.K.: An introduction to nonlinear dimensionality reduction by maximum variance unfolding. In: In Proceedings of the National Conference on Artificial Intelligence (AAAI), Nectar paper. (2006)
-
-
-
-
7
-
-
0036530772
-
A fast and elitist multi-objective genetic algorithm: NSGA-II
-
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6 (2002) 182-197
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, pp. 182-197
-
-
Deb, K.1
Agrawal, S.2
Pratap, A.3
Meyarivan, T.4
-
8
-
-
37249047795
-
-
Saul, L.K., Weinberger, K.Q., Ham, J.H., Sha, F., Lee, D.D.: Spectral methods for dimensionality reduction. In: Semisupervised Learning (to appear) (smdr.ssl06.pdf at http://www.cs.ucsd.edu/saul/abstracts.html). MIT Press, Cambridge, MA (2006)
-
Saul, L.K., Weinberger, K.Q., Ham, J.H., Sha, F., Lee, D.D.: Spectral methods for dimensionality reduction. In: Semisupervised Learning (to appear) (smdr.ssl06.pdf at http://www.cs.ucsd.edu/saul/abstracts.html). MIT Press, Cambridge, MA (2006)
-
-
-
-
9
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum, J.B., de Silva, V., Langford, J.C: A global geometric framework for nonlinear dimensionality reduction. Science 290 (2000) 2319-2323
-
(2000)
Science
, vol.290
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
10
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15 (2003) 1373-1396
-
(2003)
Neural Computation
, vol.15
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
11
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis, S., Saul, L.: Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000)2323-2326
-
(2000)
Science
, vol.290
, pp. 2323-2326
-
-
Roweis, S.1
Saul, L.2
-
12
-
-
4344609668
-
A kernel view of the dimensionality reduction of manifolds
-
TR-110, Max Planck Institute for Biological Cybernatics, Tubingen, Germany
-
Ham, J.H., Lee, D.D., Mika, S.: A kernel view of the dimensionality reduction of manifolds. Technical Reports TR-110, Max Planck Institute for Biological Cybernatics, Tubingen, Germany (2003)
-
(2003)
Technical Reports
-
-
Ham, J.H.1
Lee, D.D.2
Mika, S.3
-
16
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Scholkopf, B., Smola, A., Muller, K.R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10 (1998) 1299-1319
-
(1998)
Neural Computation
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.R.3
-
17
-
-
84901420886
-
Scalable test problems for evolutionary multi-objective optimization
-
CEC
-
Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable test problems for evolutionary multi-objective optimization. In: Congress on Evolutionary Computation (CEC). Volume 1. (2002) 825-830
-
(2002)
Congress on Evolutionary Computation
, vol.1
, pp. 825-830
-
-
Deb, K.1
Thiele, L.2
Laumanns, M.3
Zitzler, E.4
-
18
-
-
33645165230
-
Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance
-
Liu, C.: Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2006) 725-737
-
(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, pp. 725-737
-
-
Liu, C.1
|