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2007
176views Robotics» more  RSS 2007»
13 years 10 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
NIPS
1998
13 years 10 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
BMCBI
2004
112views more  BMCBI 2004»
13 years 8 months ago
MuTrack: a genome analysis system for large-scale mutagenesis in the mouse
Background: Modern biological research makes possible the comprehensive study and development of heritable mutations in the mouse model at high-throughput. Using techniques spanni...
Erich J. Baker, Leslie Galloway, Barbara Jackson, ...
CCR
2008
118views more  CCR 2008»
13 years 8 months ago
A generic language for application-specific flow sampling
Flow records gathered by routers provide valuable coarse-granularity traffic information for several measurement-related network applications. However, due to high volumes of traf...
Harsha V. Madhyastha, Balachander Krishnamurthy
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...