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CVPR
2007
IEEE
16 years 8 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
CVPR
2010
IEEE
16 years 3 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
ICMCS
2007
IEEE
406views Multimedia» more  ICMCS 2007»
16 years 28 days ago
3D Haar-Like Features for Pedestrian Detection
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observatio...
Xinyi Cui, Yazhou Liu, Shiguang Shan, Xilin Chen, ...
ICRA
2007
IEEE
146views Robotics» more  ICRA 2007»
16 years 28 days ago
Inertial Navigation Aided by Monocular Camera Observations of Unknown Features
Abstract— This paper presents an algorithm which can effectively constrain inertial navigation drift using monocular camera data. It is capable of operating in unknown and large ...
Michael George, Salah Sukkarieh
WACV
2007
IEEE
16 years 27 days ago
Probabilistic Hierarchical Face Model for Feature Localization
Facial feature localization is an important research area in both computer vision and pattern analysis. We present in this paper a hierarchical face model. It unifies both the gl...
Feng Tang, Jin Wang, Hai Tao, Qunsheng Peng