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» Feature selection for ranking using boosted trees
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AC
2000
Springer
15 years 4 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson
TKDE
2011
330views more  TKDE 2011»
14 years 6 months ago
Effective Navigation of Query Results Based on Concept Hierarchies
— Search queries on biomedical databases, such as PubMed, often return a large number of results, only a small subset of which is relevant to the user. Ranking and categorization...
Abhijith Kashyap, Vagelis Hristidis, Michalis Petr...
73
Voted
ACL
2003
15 years 1 months ago
Learning to Predict Pitch Accents and Prosodic Boundaries in Dutch
We train a decision tree inducer (CART) and a memory-based classifier (MBL) on predicting prosodic pitch accents and breaks in Dutch text, on the basis of shallow, easy-to-comput...
Erwin Marsi, Martin Reynaert, Antal van den Bosch,...
112
Voted
FIMH
2009
Springer
14 years 9 months ago
Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edg...
CG
2002
Springer
14 years 11 months ago
A Small Go Board Study of Metric and Dimensional Evaluation Functions
The difficulty to write successful 19x19 go programs lies not only in the combinatorial complexity of go but also in the complexity of designing a good evaluation function containi...
Bruno Bouzy