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ECCV
2010
Springer
14 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
LCN
2006
IEEE
15 years 3 months ago
Computing Real Time Jobs in P2P Networks
— In this paper, we present a distributed computing framework designed to support higher quality of service and fault tolerance for processing deadline-driven tasks in a P2P envi...
Jingnan Yao, Jian Zhou, Laxmi N. Bhuyan
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
GECCO
2009
Springer
192views Optimization» more  GECCO 2009»
14 years 7 months ago
Improving SMT performance: an application of genetic algorithms to configure resizable caches
Simultaneous Multithreading (SMT) is a technology aimed at improving the throughput of the processor core by applying Instruction Level Parallelism (ILP) and Thread Level Parallel...
Josefa Díaz, José Ignacio Hidalgo, F...
EGH
2011
Springer
13 years 9 months ago
Simpler and Faster HLBVH with Work Queues
A recently developed algorithm called Hierachical Linear Bounding Volume Hierarchies (HLBVH) has demonstrated the feasibility of reconstructing the spatial index needed for ray tr...
Kirill Garanzha, Jacopo Pantaleoni, David K. McAll...