-
1
-
-
84898788849
-
Quantize and conquer: A dimensionalityrecursive solution to clustering, vector quantization, and image retrieval
-
1, 3, 5
-
Y. Avrithis. Quantize and conquer: A dimensionalityrecursive solution to clustering, vector quantization, and image retrieval. In ICCV. 2013. 1, 3, 5
-
(2013)
ICCV
-
-
Avrithis, Y.1
-
2
-
-
84880303706
-
Approximate Gaussian mixtures for large scale vocabularies
-
1, 2, 3, 4, 5, 6
-
Y. Avrithis and Y. Kalantidis. Approximate Gaussian mixtures for large scale vocabularies. In ECCV. 2012. 1, 2, 3, 4, 5, 6
-
(2012)
ECCV
-
-
Avrithis, Y.1
Kalantidis, Y.2
-
3
-
-
78650978976
-
Retrieving landmark and non-landmark images from community photo collections
-
2
-
Y. Avrithis, Y. Kalantidis, G. Tolias, and E. Spyrou. Retrieving landmark and non-landmark images from community photo collections. In ACM Multimedia, 2010. 2
-
(2010)
ACM Multimedia
-
-
Avrithis, Y.1
Kalantidis, Y.2
Tolias, G.3
Spyrou, E.4
-
4
-
-
84866710693
-
The inverted multi-index
-
2, 3, 4
-
A. Babenko and V. Lempitsky. The inverted multi-index. In CVPR, 2012. 2, 3, 4
-
(2012)
CVPR
-
-
Babenko, A.1
Lempitsky, V.2
-
5
-
-
84906490449
-
Neural codes for image retrieval
-
2, 5
-
A. Babenko, A. Slesarev, A. Chigorin, and V. Lempitsky. Neural codes for image retrieval. In ECCV, 2014. 2, 5
-
(2014)
ECCV
-
-
Babenko, A.1
Slesarev, A.2
Chigorin, A.3
Lempitsky, V.4
-
7
-
-
0031620041
-
Min-wise independent permutations
-
1
-
A. Broder, M. Charikar, A. Frieze, and M. Mitzenmacher. Min-wise independent permutations. In ACM Symposium on Theory of Computing, pages 327-336, 1998. 1
-
(1998)
ACM Symposium on Theory of Computing
, pp. 327-336
-
-
Broder, A.1
Charikar, M.2
Frieze, A.3
Mitzenmacher, M.4
-
8
-
-
84906872122
-
Scalable k-means by ranked retrieval
-
1, 3, 5
-
A. Broder, L. Garcia-Pueyo, V. Josifovski, S. Vassilvitskii, and S. Venkatesan. Scalable k-means by ranked retrieval. In Web Search and Data Mining, 2014. 1, 3, 5
-
(2014)
Web Search and Data Mining
-
-
Broder, A.1
Garcia-Pueyo, L.2
Josifovski, V.3
Vassilvitskii, S.4
Venkatesan, S.5
-
9
-
-
0029357425
-
Mean shift, mode seeking, and clustering
-
1, 2
-
Y. Cheng. Mean shift, mode seeking, and clustering. PAMI, 17(8):790-799, 1995. 1, 2
-
(1995)
PAMI
, vol.17
, Issue.8
, pp. 790-799
-
-
Cheng, Y.1
-
10
-
-
73849136385
-
Large-scale discovery of spatially related images
-
Feb 1, 2
-
O. Chum and J. Matas. Large-scale discovery of spatially related images. PAMI, 32(2):371-377, Feb 2010. 1, 2
-
(2010)
PAMI
, vol.32
, Issue.2
, pp. 371-377
-
-
Chum, O.1
Matas, J.2
-
12
-
-
0036522404
-
Unsupervised learning of finite mixture models
-
3
-
M. Figueiredo and A. Jain. Unsupervised learning of finite mixture models. PAMI, 24(3):381-396, 2002. 3
-
(2002)
PAMI
, vol.24
, Issue.3
, pp. 381-396
-
-
Figueiredo, M.1
Jain, A.2
-
13
-
-
84887348338
-
Optimized product quantization for approximate nearest neighbor search
-
3, 5
-
T. Ge, K. He, Q. Ke, and J. Sun. Optimized product quantization for approximate nearest neighbor search. In CVPR, 2013. 3, 5
-
(2013)
CVPR
-
-
Ge, T.1
He, K.2
Ke, Q.3
Sun, J.4
-
14
-
-
84959231611
-
Web scale photo hash clustering on a single machine
-
1, 5
-
Y. Gong, M. Pawlowski, F. Yang, L. Brandy, L. Boundev, and R. Fergus. Web scale photo hash clustering on a single machine. In CVPR, 2015. 1, 5
-
(2015)
CVPR
-
-
Gong, Y.1
Pawlowski, M.2
Yang, F.3
Brandy, L.4
Boundev, L.5
Fergus, R.6
-
15
-
-
77955989565
-
Image webs: Computing and exploiting connectivity in image collections
-
3
-
K. Heath, N. Gelfand, M. Ovsjanikov, M. Aanjaneya, and L. J. Guibas. Image webs: Computing and exploiting connectivity in image collections. In CVPR, 2010. 3
-
(2010)
CVPR
-
-
Heath, K.1
Gelfand, N.2
Ovsjanikov, M.3
Aanjaneya, M.4
Guibas, L.J.5
-
16
-
-
78649317568
-
Product quantization for nearest neighbor search
-
5
-
H. Jégou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. PAMI, 33(1), 2011. 5
-
(2011)
PAMI
, vol.33
, Issue.1
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
-
17
-
-
84911439181
-
Triangulation embedding and democratic aggregation for image search
-
2
-
H. Jégou and A. Zisserman. Triangulation embedding and democratic aggregation for image search. In CVPR, 2014. 2
-
(2014)
CVPR
-
-
Jégou, H.1
Zisserman, A.2
-
18
-
-
84913555165
-
-
5 arXiv preprint arXiv:1408. 5093
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. ArXiv preprint arXiv:1408. 5093, 2014. 5
-
(2014)
Caffe: Convolutional Architecture for Fast Feature Embedding
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
19
-
-
37849011950
-
How flickr helps us make sense of the world: Context and content in community-contributed media collections
-
2
-
L. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury. How flickr helps us make sense of the world: Context and content in community-contributed media collections. In ACM Multimedia, volume 3, pages 631-640, 2007. 2
-
(2007)
ACM Multimedia
, vol.3
, pp. 631-640
-
-
Kennedy, L.1
Naaman, M.2
Ahern, S.3
Nair, R.4
Rattenbury, T.5
-
20
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
2, 5
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS. 2012. 2, 5
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
21
-
-
84867132578
-
Revisiting k-means: New algorithms via Bayesian nonparametrics
-
3
-
B. Kulis and M. I. Jordan. Revisiting k-means: New algorithms via Bayesian nonparametrics. In ICML, 2012. 3
-
(2012)
ICML
-
-
Kulis, B.1
Jordan, M.I.2
-
22
-
-
56749152232
-
Modeling and recognition of landmark image collections using iconic scene graphs
-
2
-
X. Li, C. Wu, C. Zach, S. Lazebnik, and J.-M. Frahm. Modeling and recognition of landmark image collections using iconic scene graphs. In ECCV, pages 427-440, 2008. 2
-
(2008)
ECCV
, pp. 427-440
-
-
Li, X.1
Wu, C.2
Zach, C.3
Lazebnik, S.4
Frahm, J.-M.5
-
23
-
-
77953228638
-
Landmark classification in large-scale image collections
-
2
-
Y. Li, D. J. Crandall, and D. P. Huttenlocher. Landmark classification in large-scale image collections. In ICCV, 2009. 2
-
(2009)
ICCV
-
-
Li, Y.1
Crandall, D.J.2
Huttenlocher, D.P.3
-
24
-
-
34547151535
-
Clustering billions of images with large scale nearest neighbor search
-
3
-
T. Liu, C. Rosenberg, and H. Rowley. Clustering billions of images with large scale nearest neighbor search. In WACV, 2007. 3
-
(2007)
WACV
-
-
Liu, T.1
Rosenberg, C.2
Rowley, H.3
-
25
-
-
84877696268
-
A new scalable parallel DBSCAN algorithm using the disjoint-set data structure
-
3
-
M. A. Patwary, D. Palsetia, A. Agrawal, W.-k. Liao, F. Manne, and A. Choudhary. A new scalable parallel DBSCAN algorithm using the disjoint-set data structure. In SC, 2012. 3
-
(2012)
SC
-
-
Patwary, M.A.1
Palsetia, D.2
Agrawal, A.3
Liao, W.-K.4
Manne, F.5
Choudhary, A.6
-
26
-
-
34948903793
-
Object retrieval with large vocabularies and fast spatial matching
-
1, 5
-
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007. 1, 5
-
(2007)
CVPR
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
27
-
-
70349152349
-
World-scale mining of objects and events from community photo collections
-
2
-
T. Quack, B. Leibe, and L. Van Gool. World-scale mining of objects and events from community photo collections. In CIVR, pages 47-56, 2008. 2
-
(2008)
CIVR
, pp. 47-56
-
-
Quack, T.1
Leibe, B.2
Van Gool, L.3
-
29
-
-
33845596932
-
Using multiple segmentations to discover objects and their extent in image collections
-
2
-
B. Russell, A. Efros, J. Sivic, W. Freeman, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In CVPR, 2006. 2
-
(2006)
CVPR
-
-
Russell, B.1
Efros, A.2
Sivic, J.3
Freeman, W.4
Zisserman, A.5
-
30
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
2
-
B. Schölkopf, A. Smola, and K. Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299-1319, 1998. 2
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.2
Muller, K.3
-
32
-
-
50949090870
-
Scene summarization for online image collections
-
2
-
I. Simon, N. Snavely, and S. Seitz. Scene summarization for online image collections. In ICCV, 2007. 2
-
(2007)
ICCV
-
-
Simon, I.1
Snavely, N.2
Seitz, S.3
-
33
-
-
85045473656
-
YFCC100M: The new data in multimedia research
-
to appear. 5, 6
-
B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni, D. Poland, D. Borth, and L.-J. Li. YFCC100M: The new data in multimedia research. Communications of the ACM, to appear. 5, 6
-
Communications of the ACM
-
-
Thomee, B.1
Shamma, D.A.2
Friedland, G.3
Elizalde, B.4
Ni, K.5
Poland, D.6
Borth, D.7
Li, L.-J.8
-
34
-
-
84898829999
-
To aggregate or not to aggregate: Selective match kernels for image search
-
2
-
G. Tolias, Y. Avrithis, and H. Jégou. To aggregate or not to aggregate: Selective match kernels for image search. In ICCV, 2013. 2
-
(2013)
ICCV
-
-
Tolias, G.1
Avrithis, Y.2
Jégou, H.3
-
35
-
-
70450153793
-
Quick shift and kernel methods for mode seeking
-
2
-
A. Vedaldi and S. Soatto. Quick shift and kernel methods for mode seeking. In ECCV, 2008. 2
-
(2008)
ECCV
-
-
Vedaldi, A.1
Soatto, S.2
-
36
-
-
34548583274
-
A tutorial on spectral clustering
-
2
-
U. Von Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17(4):395-416, 2007. 2
-
(2007)
Statistics and Computing
, vol.17
, Issue.4
, pp. 395-416
-
-
Von Luxburg, U.1
-
37
-
-
84881360631
-
An evaluation of two automatic landmark building discovery algorithms for city reconstruction
-
5, 6
-
T. Weyand, J. Hosang, and B. Leibe. An evaluation of two automatic landmark building discovery algorithms for city reconstruction. In RMLE. 2010. 5, 6
-
(2010)
RMLE.
-
-
Weyand, T.1
Hosang, J.2
Leibe, B.3
-
38
-
-
84856661230
-
Discovering favorite views of popular places with iconoid shift
-
1, 2, 7
-
T. Weyand and B. Leibe. Discovering favorite views of popular places with iconoid shift. In ICCV, 2011. 1, 2, 7
-
(2011)
ICCV
-
-
Weyand, T.1
Leibe, B.2
-
39
-
-
71749094178
-
Parallel k-means clustering based on MapReduce
-
3
-
W. Zhao, H. Ma, and Q. He. Parallel k-means clustering based on MapReduce. In Cloud Computing, pages 674-679. 2009. 3
-
(2009)
Cloud Computing
, pp. 674-679
-
-
Zhao, W.1
Ma, H.2
He, Q.3
|