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171
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IJCAI
2007
15 years 5 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
IJRR
2010
199views more  IJRR 2010»
14 years 10 months ago
Visual Tracking via Particle Filtering on the Affine Group
We propose a particle filtering-based visual tracker, in which the affine group is treated as the state. We first develop a general particle filtering algorithm that explicitly tak...
Junghyun Kwon, Frank C. Park
TIFS
2008
157views more  TIFS 2008»
15 years 3 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
162
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ICIP
2008
IEEE
16 years 5 months ago
Subspace-based methods for image registration and super-resolution
Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domai...
Patrick Vandewalle, Loïc Baboulaz, Pier Luigi...
143
Voted
ICIAP
2009
ACM
15 years 8 months ago
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lep...