1344 search results - page 79 / 269 » Quantization |
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
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
15 years 6 months ago
2010
Springer
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...
143
click to vote
ROBOCUP
2000
Springer
15 years 5 months ago
2000
Springer
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...
SGP
2007
15 years 4 months ago
2007
We present two methods for lossy compression of normal vectors through quantization using "base" polyhedra. The first revisits subdivision-based quantization. The second...
111
click to vote
ESANN
2007
15 years 3 months ago
2007
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...