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CORR
2002
Springer
180views Education» more  CORR 2002»
15 years 1 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer
ICAISC
2004
Springer
15 years 7 months ago
Comparison of Instances Seletion Algorithms I. Algorithms Survey
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
Norbert Jankowski, Marek Grochowski
ICML
2007
IEEE
16 years 2 months ago
Self-taught learning: transfer learning from unlabeled data
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...

Presentation
891views
16 years 8 months ago
Coding and Modulation in Cameras: Computational Photography beyond Photo Manipulations
Computational photography is an emerging field combining smart optics, electronics, computer vision and graphics. Recent trends in enhancing the capabilities of a camera involve ...
Amit Agrawal
ICIP
2006
IEEE
16 years 3 months ago
Exploiting Spatial Redundancy in Pixel Domain Wyner-Ziv Video Coding
Distributed video coding is a recent paradigm that enables a flexible distribution of the computational complexity between the encoder and the decoder building on top of distribut...
Alan Trapanese, Catarina Brites, Fernando Pereira,...