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GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
15 years 9 months ago
Clustering the heap in multi-threaded applications for improved garbage collection
Garbage collection can be a performance bottleneck in large distributed, multi-threaded applications. Applications may produce millions of objects during their lifetimes and may i...
Myra B. Cohen, Shiu Beng Kooi, Witawas Srisa-an
ICPR
2004
IEEE
16 years 7 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
HIS
2004
15 years 7 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICC
2007
IEEE
154views Communications» more  ICC 2007»
15 years 10 months ago
Topology Management in CogMesh: A Cluster-Based Cognitive Radio Mesh Network
As the radio spectrum usage paradigm shifting from the traditional command and control allocation scheme to the open spectrum allocation scheme, wireless mesh networks meet new opp...
Tao Chen, Honggang Zhang, Gian Mario Maggio, Imric...
IPCCC
2006
IEEE
16 years 5 days ago
dRamDisk: efficient RAM sharing on a commodity cluster
Recent work on distributed RAM sharing has largely focused on leveraging low-latency networking technologies to optimize remote memory access. In contrast, we revisit the idea of ...
Vassil Roussev, Golden G. Richard III, Daniel Ting...