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CVPR
2011
IEEE
8 years 7 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
IDA
2010
Springer
9 years 2 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
FLAIRS
2007
9 years 6 months ago
Pattern-Constrained Test Case Generation
In this paper we present a novel approach for patternconstrained test case generation. The generation of test cases with known characteristics is usually a non-trivial task. In co...
Martin Atzmüller, Joachim Baumeister, Frank P...
DCOSS
2010
Springer
9 years 7 months ago
Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks
Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, su...
Onur Soysal, Murat Demirbas
KDD
2010
ACM
228views Data Mining» more  KDD 2010»
9 years 7 months ago
The new iris data: modular data generators
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
Iris Adä, Michael R. Berthold
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
9 years 9 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol
IPPS
2007
IEEE
9 years 10 months ago
Biomolecular Path Sampling Enabled by Processing in Network Storage
Computationally complex and data intensive atomic scale biomolecular simulation is enabled via Processing in Network Storage (PINS): a novel distributed system framework to overco...
Paul Brenner, Justin M. Wozniak, Douglas Thain, Aa...
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