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119
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NIPS
2004
15 years 3 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
93
Voted
AGILEDC
2008
IEEE
15 years 8 months ago
Coding Dojo: An Environment for Learning and Sharing Agile Practices
A Coding Dojo is a meeting where a group of programmers gets together to learn, practice, and share experiences. This report describes the authors’ experience of creating and ru...
Danilo T. Sato, Hugo Corbucci, Mariana V. Bravo
107
Voted
CVPR
2010
IEEE
15 years 10 months ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
118
Voted
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
15 years 5 months ago
Classifier prediction based on tile coding
This paper introduces XCSF extended with tile coding prediction: each classifier implements a tile coding approximator; the genetic algorithm is used to adapt both classifier cond...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
162
Voted
ICCV
1998
IEEE
16 years 4 months ago
Automatic Generation of Robot Program Code: Learning from Perceptual Data
Mohammed Yeasin, Subhasis Chaudhuri