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IJCV
2000
136views more  IJCV 2000»
15 years 5 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
IGARSS
2010
15 years 13 days ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
MLDM
2005
Springer
15 years 11 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
DIS
2010
Springer
15 years 3 months ago
An Artificial Experimenter for Enzymatic Response Characterisation
Identifying the characteristics of biological systems through physical experimentation, is restricted by the resources available, which are limited in comparison to the size of the...
Chris Lovell, Gareth Jones, Steve R. Gunn, Klaus-P...
SIGCSE
2004
ACM
110views Education» more  SIGCSE 2004»
15 years 11 months ago
An extensible framework for providing dynamic data structure visualizations in a lightweight IDE
A framework for producing dynamic data structure visualizations within the context of a lightweight IDE is described. Multiple synchronized visualizations of a data structure can ...
T. Dean Hendrix, James H. Cross II, Larry A. Barow...