435 related articles for article (PubMed ID: 15288901)
1. Recognition invariance obtained by extended and invariant features.
Ullman S; Bart E
Neural Netw; 2004; 17(5-6):833-48. PubMed ID: 15288901
[TBL] [Abstract][Full Text] [Related]
2. Invariant object recognition in the visual system with novel views of 3D objects.
Stringer SM; Rolls ET
Neural Comput; 2002 Nov; 14(11):2585-96. PubMed ID: 12433291
[TBL] [Abstract][Full Text] [Related]
3. View-invariant object recognition ability develops after discrimination, not mere exposure, at several viewing angles.
Yamashita W; Wang G; Tanaka K
Eur J Neurosci; 2010 Jan; 31(2):327-35. PubMed ID: 20074222
[TBL] [Abstract][Full Text] [Related]
4. Invariant object recognition with trace learning and multiple stimuli present during training.
Stringer SM; Rolls ET; Tromans JM
Network; 2007 Jun; 18(2):161-87. PubMed ID: 17966074
[TBL] [Abstract][Full Text] [Related]
5. Invariant visual object recognition: a model, with lighting invariance.
Rolls ET; Stringer SM
J Physiol Paris; 2006; 100(1-3):43-62. PubMed ID: 17071062
[TBL] [Abstract][Full Text] [Related]
6. Learning transform invariant object recognition in the visual system with multiple stimuli present during training.
Stringer SM; Rolls ET
Neural Netw; 2008 Sep; 21(7):888-903. PubMed ID: 18440774
[TBL] [Abstract][Full Text] [Related]
7. Learning optimized features for hierarchical models of invariant object recognition.
Wersing H; Körner E
Neural Comput; 2003 Jul; 15(7):1559-88. PubMed ID: 12816566
[TBL] [Abstract][Full Text] [Related]
8. Object recognition and segmentation by a fragment-based hierarchy.
Ullman S
Trends Cogn Sci; 2007 Feb; 11(2):58-64. PubMed ID: 17188555
[TBL] [Abstract][Full Text] [Related]
9. Using spatiotemporal correlations to learn topographic maps for invariant object recognition.
Michler F; Eckhorn R; Wachtler T
J Neurophysiol; 2009 Aug; 102(2):953-64. PubMed ID: 19494190
[TBL] [Abstract][Full Text] [Related]
10. Learning from humans: computational modeling of face recognition.
Wallraven C; Schwaninger A; Bülthoff HH
Network; 2005 Dec; 16(4):401-18. PubMed ID: 16611592
[TBL] [Abstract][Full Text] [Related]
11. Nonaccidental properties underlie shape recognition in Mammalian and nonmammalian vision.
Gibson BM; Lazareva OF; Gosselin F; Schyns PG; Wasserman EA
Curr Biol; 2007 Feb; 17(4):336-40. PubMed ID: 17275301
[TBL] [Abstract][Full Text] [Related]
12. The role of gist in scene recognition.
Sampanes AC; Tseng P; Bridgeman B
Vision Res; 2008 Sep; 48(21):2275-83. PubMed ID: 18692519
[TBL] [Abstract][Full Text] [Related]
13. Learning invariant object recognition in the visual system with continuous transformations.
Stringer SM; Perry G; Rolls ET; Proske JH
Biol Cybern; 2006 Feb; 94(2):128-42. PubMed ID: 16369795
[TBL] [Abstract][Full Text] [Related]
14. Rotation direction affects object recognition.
Vuong QC; Tarr MJ
Vision Res; 2004; 44(14):1717-30. PubMed ID: 15136006
[TBL] [Abstract][Full Text] [Related]
15. Spatial vs temporal continuity in view invariant visual object recognition learning.
Perry G; Rolls ET; Stringer SM
Vision Res; 2006 Nov; 46(23):3994-4006. PubMed ID: 16996556
[TBL] [Abstract][Full Text] [Related]
16. A developmental dissociation of view-dependent and view-invariant object recognition in adolescence.
Jüttner M; Müller A; Rentschler I
Behav Brain Res; 2006 Dec; 175(2):420-4. PubMed ID: 17055074
[TBL] [Abstract][Full Text] [Related]
17. Robust object recognition with cortex-like mechanisms.
Serre T; Wolf L; Bileschi S; Riesenhuber M; Poggio T
IEEE Trans Pattern Anal Mach Intell; 2007 Mar; 29(3):411-26. PubMed ID: 17224612
[TBL] [Abstract][Full Text] [Related]
18. Combining feature- and correspondence-based methods for visual object recognition.
Westphal G; Würtz RP
Neural Comput; 2009 Jul; 21(7):1952-89. PubMed ID: 19292649
[TBL] [Abstract][Full Text] [Related]
19. View-invariant object category learning, recognition, and search: how spatial and object attention are coordinated using surface-based attentional shrouds.
Fazl A; Grossberg S; Mingolla E
Cogn Psychol; 2009 Feb; 58(1):1-48. PubMed ID: 18653176
[TBL] [Abstract][Full Text] [Related]
20. A model for learning topographically organized parts-based representations of objects in visual cortex: topographic nonnegative matrix factorization.
Hosoda K; Watanabe M; Wersing H; Körner E; Tsujino H; Tamura H; Fujita I
Neural Comput; 2009 Sep; 21(9):2605-33. PubMed ID: 19548799
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]