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ECCV
2004
Springer
16 years 2 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...
CONEXT
2009
ACM
15 years 1 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
107
Voted
EWSN
2008
Springer
16 years 11 days 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
83
Voted
ICPR
2004
IEEE
16 years 1 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
89
Voted
BIBE
2007
IEEE
176views Bioinformatics» more  BIBE 2007»
15 years 7 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...