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» Using Biologically Inspired Features for Face Processing
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ICMENS
2003
IEEE
153views Hardware» more  ICMENS 2003»
14 years 2 months ago
Biologically Inspired Intelligent Robots Using Artificial Muscles
Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of b...
Yoseph Bar-Cohen
SWARM
2008
SPRINGER
222views Optimization» more  SWARM 2008»
13 years 8 months ago
Biologically inspired redistribution of a swarm of robots among multiple sites
We present a biologically inspired approach to the dynamic assignment and reassignment of a homogeneous swarm of robots to multiple locations, which is relevant to applications lik...
M. Ani Hsieh, Ádám M. Halász,...
ACCV
2006
Springer
14 years 2 months ago
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
Sungho Kim, In-So Kweon
CVPR
2008
IEEE
14 years 10 months ago
Enhanced biologically inspired model
It has been demonstrated by Serre et al. that the biologically inspired model (BIM) is effective for object recognition. It outperforms many state-of-the-art methods in challengin...
Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dach...
JCP
2008
167views more  JCP 2008»
13 years 8 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao