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141
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ECCV
2004
Springer
16 years 4 months 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...
147
Voted
CONEXT
2009
ACM
15 years 3 months ago
The age of impatience: optimal replication schemes for opportunistic networks
: We study mobile P2P content dissemination schemes which leverage the local dedicated caches provided by hand-held devices (e.g., smart-phones, PDAs) and opportunistic contacts be...
Joshua Reich, Augustin Chaintreau
EWSN
2008
Springer
16 years 2 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
ICPR
2004
IEEE
16 years 3 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
BIBE
2007
IEEE
176views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
HICCUP: Hierarchical Clustering Based Value Imputation using Heterogeneous Gene Expression Microarray Datasets
Abstract—A novel microarray value imputation method, HICCUP1 , is presented. HICCUP improves upon existing value imputation methods in the several ways. (1) By judiciously integr...
Qiankun Zhao, Prasenjit Mitra, Dongwon Lee, Jaewoo...