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» Using a Non-prior Training Active Feature Model
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NIPS
2008
15 years 5 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
FGR
2006
IEEE
163views Biometrics» more  FGR 2006»
15 years 10 months ago
Human Action Recognition Using Multi-View Image Sequences Features
Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
Mohiuddin Ahmad, Seong-Whan Lee
ISNN
2005
Springer
15 years 9 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ICIP
2010
IEEE
15 years 2 months ago
Human age estimation using enhanced bio-inspired features (EBIF)
The Aging process is a non-reversible process, causing human face characteristics change with time as hair whitening, muscles drop and wrinkles. Recently, age estimation from faci...
Mohamed Y. Eldib, Motaz El-Saban
IROS
2008
IEEE
258views Robotics» more  IROS 2008»
15 years 10 months ago
3D active appearance model for aligning faces in 2D images
Abstract— Perceiving human faces is one of the most important functions for human robot interaction. The active appearance model (AAM) is a statistical approach that models the s...
Chun-Wei Chen, Chieh-Chih Wang