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» An Instance Selection Approach to Multiple Instance Learning
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IPPS
2007
IEEE
15 years 4 months ago
Adaptive Predictor Integration for System Performance Prediction
The integration of multiple predictors promises higher prediction accuracy than the accuracy that can be obtained with a single predictor. The challenge is how to select the best ...
Jian Zhang, Renato J. O. Figueiredo
CVPR
2012
IEEE
13 years 6 days ago
Multi-class cosegmentation
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
Armand Joulin, Francis Bach, Jean Ponce
ICPR
2008
IEEE
15 years 11 months ago
A contrario matching of SIFT-like descriptors
In this paper, the matching of SIFT-like features [5] between images is studied. The goal is to decide which matches between descriptors of two datasets should be selected. This m...
Julie Delon, Julien Rabin, Yann Gousseau
AAAI
2007
15 years 3 days ago
Domain-Independent Construction of Pattern Database Heuristics for Cost-Optimal Planning
Heuristic search is a leading approach to domain-independent planning. For cost-optimal planning, however, existing admissible heuristics are generally too weak to effectively gui...
Patrik Haslum, Adi Botea, Malte Helmert, Blai Bone...
WAIM
2009
Springer
15 years 4 months ago
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, J...