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» Multiple Kernels for Object Detection
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CVPR
2011
IEEE
13 years 16 days 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
ICPR
2008
IEEE
14 years 3 months ago
Application of the wrapper framework for image object detection
Tools for automatic image understanding for managing operator workloads are essential. One common task for image analysts is the scanning large collections of real-time images loo...
Michael Farmer
ACCV
2006
Springer
14 years 2 months ago
Fusion of 3D and Appearance Models for Fast Object Detection and Pose Estimation
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the s...
Hesam Najafi, Yakup Genc, Nassir Navab
ECCV
2010
Springer
14 years 28 days ago
The Semi-Explicit Shape Model for Multi-object Detection and Classification
We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...
ICPR
2008
IEEE
14 years 10 months ago
Multiple classifier applied on predicting microsleep from speech
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...
Jarek Krajewski, Anton Batliner, Rainer Wieland