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CVPR
2011
IEEE
13 years 5 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
IJCV
2011
264views more  IJCV 2011»
13 years 3 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICCV
2011
IEEE
12 years 8 months ago
Generalized Ordering Constraints for Multilabel Optimization
We propose a novel framework for imposing label ordering constraints in multilabel optimization. In particular, label jumps can be penalized differently depending on the jump dire...
Evgeny Strekalovskiy, Daniel Cremers
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 6 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
LREC
2008
89views Education» more  LREC 2008»
13 years 10 months ago
Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics
We evaluate discriminative parse reranking and parser self-training on a new English test set using four versions of the Charniak parser and a variety of parser evaluation metrics...
Jennifer Foster, Josef van Genabith