Integration of visual modules: an extension of the Marr paradigm
Integration of visual modules: an extension of the Marr paradigm
International Journal of Computer Vision
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Data Fusion for Sensory Information Processing Systems
Data Fusion for Sensory Information Processing Systems
A Model-Free Voting Approach for Integrating Multiple Cues
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Hausdorff Kernel for 3D Object Acquisition and Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Combining greyvalue invariants with local constraints for object recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
On representation and matching of multi-coloured objects
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Cubist Approach to Object Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Recognition with Local Features: the Kernel Recipe
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Adaptation for multiple cue integration
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Building Models of Animals from Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Fuzzy support vector machine for multi-class text categorization
Information Processing and Management: an International Journal
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Discriminative cue integration for medical image annotation
Pattern Recognition Letters
Learning Structural Models in Multiple Projection Spaces
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A realistic benchmark for visual indoor place recognition
Robotics and Autonomous Systems
Multi-modal Semantic Place Classification
International Journal of Robotics Research
Probabilistic combination of visual cues for object classification
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Object category detection using audio-visual cues
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Multi-cue discriminative place recognition
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
User recognition based on continuous monitoring and tracking
Proceedings of the 6th international conference on Human-robot interaction
Comparison of multiclass SVM decomposition schemes for visual object recognition
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Computer Vision and Image Understanding
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
Multi-cue based place learning for mobile robot navigation
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
Networks of transform-based evolvable features for object recognition
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Integrating cue descriptors in bubble space for place recognition
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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Object recognition systems aiming to work in real world settings should use multiple cues in order to achieve robustness. We present a new cue integration scheme which extends the idea of cue accumulation to discriminative classifiers. We derive and test the scheme for Support Vector Machines (SVMs), but we also show that it is easily extendible to any large margin classifier. Interestingly, in the case of one-class SVMs, the scheme can be interpreted as a new class of Mercer kernels for multiple cues. Experimental comparison with a probabilistic accumulation scheme is favorable to our method. Comparison with voting scheme shows that our method may suffer as the number of object classes increases. Based on these results, we propose a recognition algorithm consisting of a decision tree where decisions at each node are taken using our accumulation scheme. Results obtained using this new algorithm compare very favorably to accumulation (both probabilistic and discriminative) and voting scheme.