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» Boosting Object Detection Using Feature Selection
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ICB
2007
Springer
683views Biometrics» more  ICB 2007»
15 years 8 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...
IJSR
2010
181views more  IJSR 2010»
15 years 13 days ago
Multi-Part People Detection Using 2D Range Data
People detection is a key capacity for robotics systems that have to interact with humans. This paper addresses the problem of detecting people using multiple layers of 2D laser ra...
Óscar Martínez Mozos, Ryo Kurazume, ...
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
15 years 8 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
ISNN
2005
Springer
15 years 7 months ago
Neural Network Based Online Feature Selection for Vehicle Tracking
Abstract. Aiming at vehicle tracking with a single moving camera for autonomous driving, this paper presents a strategy of online feature selection combined with related process fr...
Tie Liu, Nanning Zheng, Hong Cheng
SAC
2010
ACM
15 years 2 months ago
Visual processing-inspired fern-audio features for noise-robust speaker verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...
Anindya Roy, Sébastien Marcel