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» A bottom-up framework for robust facial feature detection
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ACCV
2007
Springer
15 years 3 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
ICCV
2005
IEEE
15 years 11 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
MICCAI
1999
Springer
15 years 1 months ago
Automatic Segmentation of Lung Fields in Chest Radiographs
We present algorithms for the automatic delineation of lung fields in chest radiographs. We first develop a rule-based scheme that detects lung contours using a general framework...
Bram van Ginneken, Bart M. ter Haar Romeny
ICASSP
2007
IEEE
15 years 1 months ago
Relevance Network Modeling for Muscle Association Pattern in Reaching Movements
Our purpose is to study how different muscles collaborate together to efficiently create a smooth, coordinated reaching movement. In the EMG literature, it has been commonplace to...
Z. Jane Wang, Martin J. McKeown
CVPR
2004
IEEE
15 years 11 months ago
Self-Normalized Linear Tests
Making decisions based on a linear combination L of features is of course very common in pattern recognition. For distinguishing between two hypotheses or classes, the test is of ...
Sachin Gangaputra, Donald Geman