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» Multiple Object Class Detection with a Generative Model
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EMMCVPR
2011
Springer
14 years 2 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko
CVPR
2011
IEEE
14 years 6 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
EMMCVPR
2005
Springer
15 years 7 months ago
Object Categorization by Compositional Graphical Models
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...
Björn Ommer, Joachim M. Buhmann
ICDAR
2005
IEEE
15 years 8 months ago
Mode detection in on-line pen drawing and handwriting recognition
On-line pen input benefits greatly from mode detection when the user is in a free writing situation, where he is allowed to write, to draw, and to generate gestures. Mode detecti...
Don Willems, Stéphane Rossignol, Louis Vuur...
GECCO
2003
Springer
15 years 7 months ago
Generative Representations for Evolving Families of Designs
Abstract. Since typical evolutionary design systems encode only a single artifact with each individual, each time the objective changes a new set of individuals must be evolved. Wh...
Gregory Hornby