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PRL
2007
138views more  PRL 2007»
15 years 6 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
PVLDB
2008
182views more  PVLDB 2008»
15 years 6 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
JIDM
2010
155views more  JIDM 2010»
15 years 5 months ago
DeweyIDs - The Key to Fine-Grained Management of XML Documents
Because XML documents tend to be very large and are more and more collaboratively processed, their fine-grained storage and management is a must for which, in turn, a flexible tree...
Michael Peter Haustein, Theo Härder, Christia...
OOPSLA
2010
Springer
15 years 5 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
PAMI
2010
205views more  PAMI 2010»
15 years 5 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
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