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ICCV
2005
IEEE
15 years 3 days ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ECML
2007
Springer
14 years 4 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
POPL
2012
ACM
12 years 5 months ago
Recursive proofs for inductive tree data-structures
We develop logical mechanisms and decision procedures to facilitate the verification of full functional properties of inductive tree data-structures using recursion that are soun...
Parthasarathy Madhusudan, Xiaokang Qiu, Andrei Ste...
ECAI
2004
Springer
14 years 3 months ago
Local Search for Heuristic Guidance in Tree Search
Recent work has shown the promise in using local-search “probes” as a basis for directing a backtracking-based refinement search. In this approach, the decision about the next...
Alexander Nareyek, Stephen F. Smith, Christian M. ...
PIMRC
2008
IEEE
14 years 4 months ago
Dynamic data aggregation and transport in wireless sensor networks
—In wireless sensor networks, in-network aggregation is the process of compressing locally the data gathered by the sensor nodes, so that only the compressed data travel across s...
Mario O. Diaz, Kin K. Leung