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A Formulation for Active Learning with Applications to Object Detection
(1996-06-06)
We discuss a formulation for active example selection for function learning problems. This formulation is obtained by adapting Fedorov's optimal experiment design to the learning problem. We specifically show how to ...
A Trainable System for Object Detection in Images and Video Sequences
(2000-05-01)
This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes ...
A Trainable Object Detection System: Car Detection in Static Images
(1999-10-13)
This paper describes a general, trainable architecture for object detection that has previously been applied to face and peoplesdetection with a new application to car detection in static images. Our technique is a ...
Contextual Influences on Saliency
(2004-04-14)
This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...
Contextual Influences on Saliency
(2004-04-14)
This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...