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» Iterative methods for Robbins problems
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PAMI
2010
200views more  PAMI 2010»
13 years 6 months ago
Learning Context-Sensitive Shape Similarity by Graph Transduction
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu...
PAMI
2010
249views more  PAMI 2010»
13 years 6 months ago
Object Detection with Discriminatively Trained Part-Based Models
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
Pedro F. Felzenszwalb, Ross B. Girshick, David A. ...
PVLDB
2010
112views more  PVLDB 2010»
13 years 6 months ago
On Triangulation-based Dense Neighborhood Graphs Discovery
This paper introduces a new definition of dense subgraph pattern, the DN-graph. DN-graph considers both the size of the sub-structure and the minimum level of interactions betwee...
Nan Wang, Jingbo Zhang, Kian-Lee Tan, Anthony K. H...
EMMCVPR
2009
Springer
13 years 6 months ago
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
Dirk Breitenreicher, Christoph Schnörr
EMNLP
2009
13 years 6 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu