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» Learning to localize detected objects
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SIGMOD
2000
ACM
137views Database» more  SIGMOD 2000»
14 years 2 months ago
LOF: Identifying Density-Based Local Outliers
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
CVPR
2010
IEEE
14 years 6 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei
ICRA
2010
IEEE
164views Robotics» more  ICRA 2010»
13 years 8 months ago
Boundary detection based on supervised learning
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
Kiho Kwak, Daniel F. Huber, Jeongsook Chae, Takeo ...
IJET
2007
143views more  IJET 2007»
13 years 10 months ago
Adaptive learning scenarios for detection of misconceptions about electricity and remediation
— Our main objective is to model the knowledge used by learners in order to solve problems about electricity. We are searching means to do a diagnosis about student’s activity ...
Sandra Michelet, Jean-Michel Adam, Vanda Luengo
ICIP
2004
IEEE
14 years 11 months ago
A fine-structure image/video quality measure using local statistics
An objective no-reference measure is presented to assess fine-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, es...
Kyungnam Kim, Larry S. Davis