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» Novel Observation Model for Probabilistic Object Tracking
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AAAI
2008
13 years 10 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
ROBIO
2006
IEEE
173views Robotics» more  ROBIO 2006»
14 years 1 months ago
Impedance Control of the Hydraulic Shoulder A 3-DOF Parallel Manipulator
– In this paper, a model-based impedance control strategy is developed for a 3 DOF parallel manipulator to manage the interaction of the robot with the environment. Kinematic and...
H. Sadjadian, H. D. Taghirad
ICASSP
2008
IEEE
14 years 2 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ECCV
2008
Springer
14 years 9 months ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
PAMI
2007
166views more  PAMI 2007»
13 years 7 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila