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Table of contents of journal:
Results: 19
Lecture notes in computer science - Introduction
Authors:
Forsyth, D Mundy, J
Citation:
D. Forsyth et J. Mundy, Lecture notes in computer science - Introduction, LECT N COMP, 1681, 1999, pp. 3-8
An empirical-statistical agenda for recognition
Authors:
Forsyth, D
Citation:
D. Forsyth, An empirical-statistical agenda for recognition, LECT N COMP, 1681, 1999, pp. 9-21
A formal-physical agenda for recognition
Authors:
Mundy, J
Citation:
J. Mundy, A formal-physical agenda for recognition, LECT N COMP, 1681, 1999, pp. 22-27
Shape models and object recognition
Authors:
Ponce, J Cepeda, M Pae, SI Sullivan, S
Citation:
J. Ponce et al., Shape models and object recognition, LECT N COMP, 1681, 1999, pp. 31-57
Order structure, correspondence, and shape based categories
Authors:
Carlsson, S
Citation:
S. Carlsson, Order structure, correspondence, and shape based categories, LECT N COMP, 1681, 1999, pp. 58-71
Quasi-invariant parameterisations and their applications in computer vision
Authors:
Sato, J Cipolla, R
Citation:
J. Sato et R. Cipolla, Quasi-invariant parameterisations and their applications in computer vision, LECT N COMP, 1681, 1999, pp. 72-92
Representations for recognition under variable illumination
Authors:
Kriegman, DJ Belhumeur, PN Georghiades, AS
Citation:
Dj. Kriegman et al., Representations for recognition under variable illumination, LECT N COMP, 1681, 1999, pp. 95-131
Shadows, shading, and projective ambiguity
Authors:
Belhumeur, PN Kriegman, DJ Yuille, AL
Citation:
Pn. Belhumeur et al., Shadows, shading, and projective ambiguity, LECT N COMP, 1681, 1999, pp. 132-151
Grouping in the normalized cut framework
Authors:
Malik, J Shi, JB Belongie, S Leung, T
Citation:
J. Malik et al., Grouping in the normalized cut framework, LECT N COMP, 1681, 1999, pp. 155-164
Geometric grouping of repeated elements within images
Authors:
Schaffalitzky, F Zisserman, A
Citation:
F. Schaffalitzky et A. Zisserman, Geometric grouping of repeated elements within images, LECT N COMP, 1681, 1999, pp. 165-181
Constrained symmetry for change detection
Authors:
Curwen, RW Mundy, JL
Citation:
Rw. Curwen et Jl. Mundy, Constrained symmetry for change detection, LECT N COMP, 1681, 1999, pp. 182-195
Grouping based on coupled diffusion maps
Authors:
Proesmans, M Van Gool, L
Citation:
M. Proesmans et L. Van Gool, Grouping based on coupled diffusion maps, LECT N COMP, 1681, 1999, pp. 196-213
Integrating geometric and photometric information for image retrieval
Authors:
Schmid, C Zisserman, A Mohr, R
Citation:
C. Schmid et al., Integrating geometric and photometric information for image retrieval, LECT N COMP, 1681, 1999, pp. 217-233
Towards the integration of geometric and appearance-based object recognition
Authors:
Mundy, J Saxena, T
Citation:
J. Mundy et T. Saxena, Towards the integration of geometric and appearance-based object recognition, LECT N COMP, 1681, 1999, pp. 234-245
Recognizing objects using color-annotated adjacency graphs
Authors:
Tu, P Saxena, T Hartley, R
Citation:
P. Tu et al., Recognizing objects using color-annotated adjacency graphs, LECT N COMP, 1681, 1999, pp. 246-263
A cooperating strategy for objects recognition
Authors:
Chella, A Di Gesu, V Infantino, I Intravaia, D Valenti, C
Citation:
A. Chella et al., A cooperating strategy for objects recognition, LECT N COMP, 1681, 1999, pp. 264-274
Model selection for two view geometry: A review
Authors:
Torr, PHS
Citation:
Phs. Torr, Model selection for two view geometry: A review, LECT N COMP, 1681, 1999, pp. 277-301
Finding objects by grouping primitives
Authors:
Forsyth, D Haddon, J Ioffe, S
Citation:
D. Forsyth et al., Finding objects by grouping primitives, LECT N COMP, 1681, 1999, pp. 302-318
Object recognition with gradient-based learning
Authors:
LeCun, Y Haffner, P Bottou, L Bengio, Y
Citation:
Y. Lecun et al., Object recognition with gradient-based learning, LECT N COMP, 1681, 1999, pp. 319-345
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