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FOIKS
2008
Springer
15 years 9 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
96
Voted
EMMCVPR
2005
Springer
15 years 6 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
IPPS
2000
IEEE
15 years 4 months ago
Bandwidth-Efficient Collective Communication for Clustered Wide Area Systems
Metacomputing infrastructures couple multiple clusters (or MPPs) via wide-area networks. A major problem in programming parallel applications for such platforms is their hierarchi...
Thilo Kielmann, Henri E. Bal, Sergei Gorlatch
125
Voted
JPDC
2008
110views more  JPDC 2008»
15 years 21 days ago
Parallel multilevel algorithms for hypergraph partitioning
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe schemes for parallel coarsening, parallel greedy k-way...
Aleksandar Trifunovic, William J. Knottenbelt
IWQOS
2005
Springer
15 years 6 months ago
Analyzing Object Detection Quality Under Probabilistic Coverage in Sensor Networks
Abstract. Object detection quality and network lifetime are two conflicting aspects of a sensor network, but both are critical to many sensor applications such as military surveil...
Shansi Ren, Qun Li, Haining Wang, Xin Chen, Xiaodo...