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» The Localization Hypothesis and Machines
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IJCV
2000
136views more  IJCV 2000»
15 years 6 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
CN
1998
77views more  CN 1998»
15 years 6 months ago
Modelling and simulation of the tongue during laryngoscopy
The main aim of our work is to create a realistic model of the behaviour of the upper airways during laryngoscopy. In this procedure the anaesthetist uses a rigid blade to displac...
Maria Andréia F. Rodrigues, Duncan Fyfe Gil...
PC
1998
153views Management» more  PC 1998»
15 years 6 months ago
Compilation Techniques for Out-of-Core Parallel Computations
The difficulty of handling out-of-core data limits the performance of supercomputers as well as the potential of the parallel machines. Since writing an efficient out-of-core ve...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
NCA
2007
IEEE
15 years 5 months ago
A data reduction approach for resolving the imbalanced data issue in functional genomics
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
Kihoon Yoon, Stephen Kwek
ICMLA
2010
15 years 4 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft