-
5
-
-
0003283879
-
Training connectionist networks with queries and selective sampling
-
D. Cohn, L. Atlas, R. Ladner, M. El-Sharkawi, R. Marks II, M. Aggoune, and D. Park. Training connectionist networks with queries and selective sampling. In Proc. NIPS, 1990.
-
(1990)
Proc. NIPS
-
-
Cohn, D.1
Atlas, L.2
Ladner, R.3
El-Sharkawi, M.4
Marks II, R.5
Aggoune, M.6
Park, D.7
-
7
-
-
84951933074
-
Reducing labeling effort for structured prediction tasks
-
A. Culotta and A. McCallum. Reducing labeling effort for structured prediction tasks. In Proc. AAAI, 2005.
-
(2005)
Proc. AAAI
-
-
Culotta, A.1
McCallum, A.2
-
8
-
-
71149084538
-
Learning to segment from a few well-selected training images
-
A. Farhangfar, R. Greiner, and C. Szepesvari. Learning to Segment from a Few Well-Selected Training Images. In Proc. ICML, 2009.
-
(2009)
Proc. ICML
-
-
Farhangfar, A.1
Greiner, R.2
Szepesvari, C.3
-
9
-
-
84898437287
-
Combining self training and active learning for video segmentation
-
A. Fathi, M. F. Balcan, X. Ren, and J. M. Rehg. Combining Self Training and Active Learning for Video Segmentation. In Proc. BMVC, 2011.
-
(2011)
Proc. BMVC
-
-
Fathi, A.1
Balcan, M.F.2
Ren, X.3
Rehg, J.M.4
-
10
-
-
78649384136
-
Norm-product belief propagation: Primal-dual message-passing for lprelaxation and approximate-inference
-
T. Hazan and A. Shashua. Norm-Product Belief Propagation: Primal-Dual Message-Passing for LPRelaxation and Approximate-Inference. Trans. Information Theory, 2010.
-
(2010)
Trans. Information Theory
-
-
Hazan, T.1
Shashua, A.2
-
11
-
-
85162009902
-
A primal-dual message-passing algorithm for approximated large scale structured prediction
-
T. Hazan and R. Urtasun. A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction. In Proc. NIPS, 2010.
-
(2010)
Proc. NIPS
-
-
Hazan, T.1
Urtasun, R.2
-
12
-
-
77953216235
-
Recovering the spatial layout of cluttered rooms
-
V. Hedau, D. Hoiem, and D. A. Forsyth. Recovering the Spatial Layout of Cluttered Rooms . In Proc. ICCV, 2009.
-
(2009)
Proc. ICCV
-
-
Hedau, V.1
Hoiem, D.2
Forsyth, D.A.3
-
13
-
-
34547216923
-
Recovering surface layout from an image
-
D. Hoiem, A. A. Efros, and M. Hebert. Recovering Surface Layout from an Image. IJCV, 2007.
-
(2007)
IJCV
-
-
Hoiem, D.1
Efros, A.A.2
Hebert, M.3
-
14
-
-
50649102302
-
Active learning with gaussian processes for object categorization
-
A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell. Active Learning with Gaussian Processes for Object Categorization . In Proc. ICCV, 2007.
-
(2007)
Proc. ICCV
-
-
Kapoor, A.1
Grauman, K.2
Urtasun, R.3
Darrell, T.4
-
15
-
-
36248972102
-
Measuring uncertainty in graph cut solutions-efficiently computing min-marginal energies using dynamic graph cuts
-
P. Kohli and P. Torr. Measuring Uncertainty in Graph Cut Solutions-Efficiently Computing Min-marginal Energies using Dynamic Graph Cuts. In Proc. ECCV, 2006.
-
(2006)
Proc. ECCV
-
-
Kohli, P.1
Torr, P.2
-
16
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. ICML, 2001.
-
(2001)
Proc. ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
17
-
-
85161973668
-
Estimating spatial layout of rooms using volumetric reasoning about objects and surfaces
-
D. C. Lee, A. Gupta, M. Hebert, and T. Kanade. Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces. In Proc. NIPS, 2010.
-
(2010)
Proc. NIPS
-
-
Lee, D.C.1
Gupta, A.2
Hebert, M.3
Kanade, T.4
-
18
-
-
70450207187
-
Geometric reasoning for single image structure recovery
-
D. C. Lee, M. Hebert, and T. Kanade. Geometric Reasoning for Single Image Structure Recovery. In Proc. CVPR, 2009.
-
(2009)
Proc. CVPR
-
-
Lee, D.C.1
Hebert, M.2
Kanade, T.3
-
19
-
-
85124125604
-
Heterogeneous uncertainty sampling for supervised learning
-
D. Lewis and J. Catlett. Heterogeneous uncertainty sampling for supervised learning. In Proc. ICML, 1994.
-
(1994)
Proc. ICML
-
-
Lewis, D.1
Catlett, J.2
-
21
-
-
80052877810
-
Learning structured prediction models for interactive image labeling
-
T. Mensink, J. Verbeek, and G. Csurka. Learning Structured Prediction Models for Interactive Image Labeling. In Proc. CVPR, 2011.
-
(2011)
Proc. CVPR
-
-
Mensink, T.1
Verbeek, J.2
Csurka, G.3
-
22
-
-
79952317581
-
Margin-based active learning for structured output spaces
-
D. Roth and K. Small. Margin-based Active Learning for Structured Output Spaces. In Proc. ECML, 2006.
-
(2006)
Proc. ECML
-
-
Roth, D.1
Small, K.2
-
23
-
-
84877632511
-
Grabcut interactive foreground extraction using iterated graph cuts
-
C. Rother, V. Kolmogorov, and A. Blake. GrabCut Interactive Foreground Extraction using Iterated Graph Cuts. In Proc. SIGGRAPH, 2004.
-
(2004)
Proc. SIGGRAPH
-
-
Rother, C.1
Kolmogorov, V.2
Blake, A.3
-
24
-
-
0442319140
-
Toward optimal active learning through sampling estimation of error reduction
-
N. Roy and A. McCallum. Toward optimal active learning through sampling estimation of error reduction. In Proc. ICML, 2001.
-
(2001)
Proc. ICML
-
-
Roy, N.1
McCallum, A.2
-
28
-
-
84867113207
-
Efficient structured prediction with latent variables for general graphical models
-
A. G. Schwing, T. Hazan, M. Pollefeys, and R. Urtasun. Efficient Structured Prediction with Latent Variables for General Graphical Models. In Proc. ICML, 2012.
-
(2012)
Proc ICML
-
-
Schwing, A.G.1
Hazan, T.2
Pollefeys, M.3
Urtasun, R.4
-
30
-
-
84867138308
-
Online structured prediction via coactive learning
-
P. Shivaswamy and T. Joachims. Online Structured Prediction via Coactive Learning. In Proc. ICML, 2012.
-
(2012)
Proc ICML
-
-
Shivaswamy, P.1
Joachims, T.2
-
31
-
-
77955986969
-
Beyond active noun tagging: Modeling contextual interactions for multi-class active learning
-
B. Siddiquie and A. Gupta. Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning. In Proc. CVPR, 2010.
-
(2010)
Proc. CVPR
-
-
Siddiquie, B.1
Gupta, A.2
-
32
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
S. Tong and D. Koller. Support vector machine active learning with applications to text classification. JMLR, 2001.
-
(2001)
JMLR
-
-
Tong, S.1
Koller, D.2
-
33
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. Large Margin Methods for Structured and Interdependent Output Variables. JMLR, 2005.
-
(2005)
JMLR
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
34
-
-
84866706762
-
Active learning for semantic segmentation with expected change
-
A. Vezhnevets, V. Ferrari, and J. M. Buhmann. Active Learning for Semantic Segmentation with Expected Change. In Proc. CVPR, 2012.
-
(2012)
Proc. CVPR
-
-
Vezhnevets, A.1
Ferrari, V.2
Buhmann, J.M.3
-
35
-
-
80055035149
-
Cost-sensitive active visual category learning
-
S. Vijayanarasimhan and K. Grauman. Cost-Sensitive Active Visual Category Learning. IJCV, 2010.
-
(2010)
IJCV
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
36
-
-
84898797894
-
Active frame selection for label propagation in videos
-
S. Vijayanarasimhan and K. Grauman. Active Frame Selection for Label Propagation in Videos. In Proc. ECCV, 2012.
-
(2012)
Proc. ECCV
-
-
Vijayanarasimhan, S.1
Grauman, K.2
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