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GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 8 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
PAMI
2002
150views more  PAMI 2002»
15 years 6 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
228
Voted
TIP
2010
255views more  TIP 2010»
15 years 1 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
206
Voted
CORR
2002
Springer
131views Education» more  CORR 2002»
15 years 6 months ago
Ownership Confinement Ensures Representation Independence for Object-Oriented Programs
for data abstraction and justifies reasoning by simulation. Representation independence has been shown for a variety of languages and constructs but not for shared references to mu...
Anindya Banerjee, David A. Naumann

Book
374views
17 years 5 months ago
Computer Vision
The book covers the fundamental computer vision techniques such as template matching histogram transformations, background subtraction, filtering and reflectance models, edge detec...
Dana H. Ballard, Christopher M. Brown