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ECCV
2010
Springer
14 years 3 months ago
Representing Pairwise Spatial and Temporal Relations for Action Recognition
The popular bag-of-words paradigm for action recognition tasks is based on building histograms of quantized features, typically at the cost of discarding all information about rela...
ECCV
2010
Springer
14 years 2 months ago
Feature tracking for wide-baseline image retrieval
We address the problem of large scale image retrieval in a wide-baseline setting, where for any query image all the matching database images will come from very different viewpoint...
ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
14 years 1 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
SGP
2007
14 years 13 days ago
Fast normal vector compression with bounded error
We present two methods for lossy compression of normal vectors through quantization using "base" polyhedra. The first revisits subdivision-based quantization. The second...
Eric J. Griffith, Michal Koutek, Frits H. Post
ESANN
2007
13 years 11 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet