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BMVC
2010
13 years 1 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
ICAI
2008
13 years 5 months ago
Online Boosting Based Intrusion Detection in Changing Environments
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
Yanguo Wang, Weiming Hu, Xiaoqin Zhang
CVPR
2012
IEEE
11 years 6 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ICVGIP
2004
13 years 5 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
IJCAI
2007
13 years 5 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...