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CVIU
2008
188views more  CVIU 2008»
15 years 6 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
180
Voted
IAJIT
2008
127views more  IAJIT 2008»
15 years 6 months ago
A Customized Particle Swarm Optimization for Classification of Multispectral Imagery Based on Feature Fusion
: An attempt has been made in this paper to classify multispectral images using customized particle swam optimization. To reduce the time consumption due to increase in dimensional...
Venkatalakshmi Krishnan, Anisha Praisy, Mercy Shal...
180
Voted
CORR
2011
Springer
301views Education» more  CORR 2011»
14 years 10 months ago
Human Activity Detection from RGBD Images
Being able to detect and recognize human activities is important for making personal assistant robots useful in performing assistive tasks. The challenge is to develop a system th...
Jaeyong Sung, Colin Ponce, Bart Selman, Ashutosh S...
CVPR
2012
IEEE
13 years 8 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
CASES
2001
ACM
15 years 10 months ago
Transparent data-memory organizations for digital signal processors
Today's digital signal processors (DSPs), unlike general-purpose processors, use a non-uniform addressing model in which the primary components of the memory system--the DRAM...
Sadagopan Srinivasan, Vinodh Cuppu, Bruce L. Jacob