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» The Dark Side of Object Learning: Learning Objects
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DAGSTUHL
1994
13 years 10 months ago
Function-Based Object Recognition
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
Louise Stark, Kevin W. Bowyer
IIE
2007
130views more  IIE 2007»
13 years 9 months ago
An Iterative Methodology for Teaching Object Oriented Concepts
Abstract thinking is a vital skill when learning computer science. Object technology and the concepts it is based upon make this skill even more crucial. However, previous research...
Irit Hadar, Ethan Hadar
CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
PRL
2007
101views more  PRL 2007»
13 years 8 months ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
ECCV
2008
Springer
14 years 11 months ago
VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of c...
David Liu, Gang Hua, Tsuhan Chen