-
3
-
-
0033713736
-
Fast nearest-neighbor search based on approximation-elimination search
-
Ramasubramanian V., and Paliwal K. Fast nearest-neighbor search based on approximation-elimination search. Pattern Recognition 33 (2000) 1497-1510
-
(2000)
Pattern Recognition
, vol.33
, pp. 1497-1510
-
-
Ramasubramanian, V.1
Paliwal, K.2
-
4
-
-
33750379261
-
Fast and versatile algorithm for nearest neighbor search based on lower bound tree
-
Yong-Sheng C., Yi-Ping H., and Chiou-Shann F. Fast and versatile algorithm for nearest neighbor search based on lower bound tree. Pattern Recognition Letters 40 2 (2007) 360-375
-
(2007)
Pattern Recognition Letters
, vol.40
, Issue.2
, pp. 360-375
-
-
Yong-Sheng, C.1
Yi-Ping, H.2
Chiou-Shann, F.3
-
5
-
-
0003159276
-
A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing-time and memory requirements
-
Micó L., Oncina J., and Vidal E. A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing-time and memory requirements. Pattern Recognition Letters 15 (1994) 9-17
-
(1994)
Pattern Recognition Letters
, vol.15
, pp. 9-17
-
-
Micó, L.1
Oncina, J.2
Vidal, E.3
-
6
-
-
33749612863
-
-
M. Denny, M.J. Franklin, Operators for expensive functions in continuous queries, in: Proceedings of the 22nd International Conference on Data Engineering, ICDE'06, 03 (issue 07) 2006, p. 147.
-
M. Denny, M.J. Franklin, Operators for expensive functions in continuous queries, in: Proceedings of the 22nd International Conference on Data Engineering, ICDE'06, vol. 03 (issue 07) 2006, p. 147.
-
-
-
-
8
-
-
43049083360
-
An Improved Algorithm Finding Nearest Neighbor Using Kd-trees
-
R. Panigrahi, An Improved Algorithm Finding Nearest Neighbor Using Kd-trees, in: Lecture Notes in Computer Science, vol. 4957, 2008, pp. 387-398.
-
(2008)
Lecture Notes in Computer Science
, vol.4957
, pp. 387-398
-
-
Panigrahi, R.1
-
9
-
-
33749617897
-
The Dissimilarity Representation for Pattern Recognition
-
World Scientific, Singapore, December
-
E. Pekalska, R. Duin, The Dissimilarity Representation for Pattern Recognition, in: Foundations and Applications, World Scientific, Singapore, December 2005.
-
(2005)
Foundations and Applications
-
-
Pekalska, E.1
Duin, R.2
-
10
-
-
33745405918
-
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
-
Chang H., Yeung D., and Cheung W. Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognition 39 (2006) 1905-1917
-
(2006)
Pattern Recognition
, vol.39
, pp. 1905-1917
-
-
Chang, H.1
Yeung, D.2
Cheung, W.3
-
11
-
-
33745422982
-
Fast multiscale clustering and manifold identification
-
Kushnir D., Galun M., and Brandt A. Fast multiscale clustering and manifold identification. Pattern Recognition 39 (2006) 1876-1891
-
(2006)
Pattern Recognition
, vol.39
, pp. 1876-1891
-
-
Kushnir, D.1
Galun, M.2
Brandt, A.3
-
12
-
-
33745428009
-
On the information and representation of non-Euclidean pairwise data
-
Laub J., Roth V., Buhmann J., and Muller K. On the information and representation of non-Euclidean pairwise data. Pattern Recognition 39 (2006) 1815-1826
-
(2006)
Pattern Recognition
, vol.39
, pp. 1815-1826
-
-
Laub, J.1
Roth, V.2
Buhmann, J.3
Muller, K.4
-
13
-
-
33745421067
-
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
-
Lozano M., Martínez Sotoca J., Sánchez J., Pla F., Pekalska E., and Duin R. Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. Pattern Recognition 39 (2006) 1827-1838
-
(2006)
Pattern Recognition
, vol.39
, pp. 1827-1838
-
-
Lozano, M.1
Martínez Sotoca, J.2
Sánchez, J.3
Pla, F.4
Pekalska, E.5
Duin, R.6
-
14
-
-
34047213517
-
-
C. Chien-Hsing, K. Bo-Han, C. Fu, The generalized condensed nearest neighbor rule as a data reduction method, in: Proceedings of the 18th International Conference on Pattern Recognition, 02, 2006, pp. 556-559.
-
C. Chien-Hsing, K. Bo-Han, C. Fu, The generalized condensed nearest neighbor rule as a data reduction method, in: Proceedings of the 18th International Conference on Pattern Recognition, vol. 02, 2006, pp. 556-559.
-
-
-
-
17
-
-
0029752929
-
Similarity indexing with the SS-tree
-
New Orleans, LA
-
D.A. White, R. Jain, Similarity indexing with the SS-tree, in: Proceedings of the International Conference on Data Engineering, New Orleans, LA, 1996, pp. 516-523.
-
(1996)
Proceedings of the International Conference on Data Engineering
, pp. 516-523
-
-
White, D.A.1
Jain, R.2
-
18
-
-
0031162081
-
The SR-tree: An index structure for high dimensional nearest neighbor queries
-
Tucson, AZ, USA
-
N. Katayama, S. Satoh, The SR-tree: an index structure for high dimensional nearest neighbor queries, in: Proceedings of the ACM SIGMOD International Conference on Management of Data, Tucson, AZ, USA, 1997, pp. 369-380.
-
(1997)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 369-380
-
-
Katayama, N.1
Satoh, S.2
-
19
-
-
0032094513
-
The pyramid-technique: Towards breaking the curse of dimensionality
-
Seattle, WA
-
S. Berchtold, C. Böhm, H. Kriegel, The pyramid-technique: towards breaking the curse of dimensionality, in: Proceedings of the ACM SIGMOD International Conference on Management of Data, Seattle, WA, 1988, pp. 142-153.
-
(1988)
Proceedings of the ACM SIGMOD International Conference on Management of Data
, pp. 142-153
-
-
Berchtold, S.1
Böhm, C.2
Kriegel, H.3
-
20
-
-
33747624950
-
Indexing the solution space: a new technique for nearest neighbor search in high dimensional space
-
Berchtold S., Keim D.A., Kriegel H., and Seidl T. Indexing the solution space: a new technique for nearest neighbor search in high dimensional space. IEEE Transactions on Knowledge Data Engineering 12 1 (2000) 45-57
-
(2000)
IEEE Transactions on Knowledge Data Engineering
, vol.12
, Issue.1
, pp. 45-57
-
-
Berchtold, S.1
Keim, D.A.2
Kriegel, H.3
Seidl, T.4
-
21
-
-
0016533974
-
A branch and bound algorithm for computing k-nearest neighbors
-
Fukunaga K., and Narendra P. A branch and bound algorithm for computing k-nearest neighbors. IEEE Transactions on Computers 24 (1975) 743-750
-
(1975)
IEEE Transactions on Computers
, vol.24
, pp. 743-750
-
-
Fukunaga, K.1
Narendra, P.2
-
26
-
-
0032201716
-
An optimal algorithm for approximate nearest neighbor searching in high dimensions
-
Arya S., Mount D., Netanyahu N., Silverman R., and Wu A. An optimal algorithm for approximate nearest neighbor searching in high dimensions. Journal of the ACM 45 6 (1998) 891-923
-
(1998)
Journal of the ACM
, vol.45
, Issue.6
, pp. 891-923
-
-
Arya, S.1
Mount, D.2
Netanyahu, N.3
Silverman, R.4
Wu, A.5
-
27
-
-
35248855093
-
Approximate nearest neighbor search with the Fukunaga and Narendra algorithm and its application to chromosome classification, CIARP
-
F. Moreno-Seco, L. Mico, J. Oncina, Approximate nearest neighbor search with the Fukunaga and Narendra algorithm and its application to chromosome classification, CIARP, in: Lecture Notes in Computer Science, vol. 2905, 2003, pp. 322-328.
-
(2003)
Lecture Notes in Computer Science
, vol.2905
, pp. 322-328
-
-
Moreno-Seco, F.1
Mico, L.2
Oncina, J.3
-
28
-
-
33746059374
-
On the last cost for proximity searching in metric spaces
-
WEA
-
K. Figueroa, E. Chávez, G. Navarro, R. Paredes, On the last cost for proximity searching in metric spaces, in: WEA 2006, Lecture Notes in Computer Science, vol. 4007, 2006, pp. 279-290.
-
(2006)
Lecture Notes in Computer Science
, vol.4007
, pp. 279-290
-
-
Figueroa, K.1
Chávez, E.2
Navarro, G.3
Paredes, R.4
-
30
-
-
0033877356
-
Fast search algorithms for vector quantization of images using multiple triangle inequalities and wavelet transform
-
Hsieh C., and Liu Y. Fast search algorithms for vector quantization of images using multiple triangle inequalities and wavelet transform. IEEE Transactions on Image Processing 9 3 (2000) 321-328
-
(2000)
IEEE Transactions on Image Processing
, vol.9
, Issue.3
, pp. 321-328
-
-
Hsieh, C.1
Liu, Y.2
-
32
-
-
0347116141
-
A fast algorithm for a k-nn classifier based on branch and bound method and computational quantity estimation
-
Omachi S., and Aso H. A fast algorithm for a k-nn classifier based on branch and bound method and computational quantity estimation. Systems and Computers in Japan 31 6 (2000) 1-9
-
(2000)
Systems and Computers in Japan
, vol.31
, Issue.6
, pp. 1-9
-
-
Omachi, S.1
Aso, H.2
-
33
-
-
27744558922
-
Some approaches to improve tree-based nearest neighbor search algorithms
-
Gómez-Ballester E., Mico L., and Oncina J. Some approaches to improve tree-based nearest neighbor search algorithms. Pattern Recognition Letters 39 (2006) 171-179
-
(2006)
Pattern Recognition Letters
, vol.39
, pp. 171-179
-
-
Gómez-Ballester, E.1
Mico, L.2
Oncina, J.3
-
34
-
-
38049169606
-
A tabular pruning rule in tree-based fast nearest neighbor search algorithms, IbPRIA
-
J. Oncina, F. Thollard, E. Gómez-Ballester, L., Micó, F. Moreno-Seco, A tabular pruning rule in tree-based fast nearest neighbor search algorithms, IbPRIA, in: Lecture Notes in Computer Science, vol. 4478, 2007, pp. 306-313.
-
(2007)
Lecture Notes in Computer Science
, vol.4478
, pp. 306-313
-
-
Oncina, J.1
Thollard, F.2
Gómez-Ballester, E.3
Micó, L.4
Moreno-Seco, F.5
-
35
-
-
57649192979
-
Extension to C-means algorithm for the use of similarity functions
-
J.R. García-Serrano, J.F. Martínez-Trinidad, Extension to C-means algorithm for the use of similarity functions, in: Lectures Notes in Artificial Intelligence, vol. 1704, 1999, pp. 354-359.
-
(1999)
Lectures Notes in Artificial Intelligence
, vol.1704
, pp. 354-359
-
-
García-Serrano, J.R.1
Martínez-Trinidad, J.F.2
-
37
-
-
0030169250
-
A fast branch and bound nearest neighbor classifier in metric spaces
-
Mico L., Oncina J., and Carrasco R. A fast branch and bound nearest neighbor classifier in metric spaces. Pattern Recognition Letters 17 (1996) 731-739
-
(1996)
Pattern Recognition Letters
, vol.17
, pp. 731-739
-
-
Mico, L.1
Oncina, J.2
Carrasco, R.3
-
38
-
-
0037410616
-
PCA-based branch and bound search algorithms for computing K nearest neighbors
-
D'haes W., Dyck D., and Rodel X. PCA-based branch and bound search algorithms for computing K nearest neighbors. Pattern Recognition Letters 24 (2002) 1437-1451
-
(2002)
Pattern Recognition Letters
, vol.24
, pp. 1437-1451
-
-
D'haes, W.1
Dyck, D.2
Rodel, X.3
-
39
-
-
0343081513
-
Reduction techniques for instance based learning algorithms
-
Wilson D., and Martínez T. Reduction techniques for instance based learning algorithms. Machine Learning 38 (2000) 257-286
-
(2000)
Machine Learning
, vol.38
, pp. 257-286
-
-
Wilson, D.1
Martínez, T.2
-
41
-
-
0003408496
-
-
Department of Information and Computer Science, University of California, Irvine, CA
-
C. Blake, C. Merz, UCI repository of machine learning databases, 1998. 〈http://www.uci.edu/mlearn/databases/〉, Department of Information and Computer Science, University of California, Irvine, CA.
-
(1998)
UCI repository of machine learning databases
-
-
Blake, C.1
Merz, C.2
-
42
-
-
0000259511
-
Statistical tests for comparing supervised classification learning algorithms
-
Dietterich T. Statistical tests for comparing supervised classification learning algorithms. Neural Computation 10 7 (1998) 1895-1923
-
(1998)
Neural Computation
, vol.10
, Issue.7
, pp. 1895-1923
-
-
Dietterich, T.1
-
43
-
-
0022858293
-
An algorithm for finding nearest neighbours in (approximately) constant average time complexity
-
Vidal E. An algorithm for finding nearest neighbours in (approximately) constant average time complexity. Pattern Recognition Letters 4 (1986) 145-157
-
(1986)
Pattern Recognition Letters
, vol.4
, pp. 145-157
-
-
Vidal, E.1
-
44
-
-
84868683572
-
Improvements of TLAESA nearest neighbor search and extension to approximation search
-
K. Tokoro, K. Yamaguchi, S. Masuda, Improvements of TLAESA nearest neighbor search and extension to approximation search, in: ACSC'06: Proceedings of the 29th Australian Computer Science Conference, 2006, pp. 77-83.
-
(2006)
ACSC'06: Proceedings of the 29th Australian Computer Science Conference
, pp. 77-83
-
-
Tokoro, K.1
Yamaguchi, K.2
Masuda, S.3
|