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ECCV
2004
Springer
15 years 20 days ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
WWW
2005
ACM
14 years 11 months ago
On the lack of typical behavior in the global Web traffic network
We offer the first large-scale analysis of Web traffic based on network flow data. Using data collected on the Internet2 network, we constructed a weighted bipartite clientserver ...
Mark Meiss, Filippo Menczer, Alessandro Vespignani
CAV
2009
Springer
133views Hardware» more  CAV 2009»
14 years 11 months ago
Cardinality Abstraction for Declarative Networking Applications
ity Abstraction for Declarative Networking Applications Juan A. Navarro P?erez, Andrey Rybalchenko, and Atul Singh Max Planck Institute for Software Systems (MPI-SWS) Declarative N...
Andrey Rybalchenko, Atul Singh, Juan Antonio Navar...
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 11 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
14 years 11 months ago
Optimizing mpf queries: decision support and probabilistic inference
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Héctor Corrada Bravo, Raghu Ramakrishnan