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» Bio-inspired Computing Paradigms (Natural Computing)
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ICCV
2007
IEEE
16 years 1 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
ICCV
2001
IEEE
16 years 1 months ago
Gradient Vector Flow Fast Geodesic Active Contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is r...
Nikos Paragios, Olivier Mellina-Gottardo, Visvanat...
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ICCV
1999
IEEE
16 years 1 months ago
Prediction Error as a Quality Metric for Motion and Stereo
This paper presents a new methodology for evaluating the quality of motion estimation and stereo correspondence algorithms. Motivated by applications such as novel view generation...
Richard Szeliski
CHI
2007
ACM
16 years 3 days ago
Shoogle: excitatory multimodal interaction on mobile devices
Shoogle is a novel, intuitive interface for sensing data within a mobile device, such as presence and properties of text messages or remaining resources. It is based around active...
John Williamson, Roderick Murray-Smith, Stephen Hu...
CHI
2006
ACM
16 years 3 days ago
Using perceptual grouping for object group selection
Modern graphical user interfaces support the direct manipulation of objects and efficient selection of objects is an integral part of this user interface paradigm. For the selecti...
Hoda Dehmeshki, Wolfgang Stürzlinger