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ICML
2010
IEEE
14 years 10 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
NIPS
2003
14 years 11 months ago
Error Bounds for Transductive Learning via Compression and Clustering
This paper is concerned with transductive learning. Although transduction appears to be an easier task than induction, there have not been many provably useful algorithms and boun...
Philip Derbeko, Ran El-Yaniv, Ron Meir
ICPR
2006
IEEE
15 years 10 months ago
Machine Learning for Video Compression: Macroblock Mode Decision
Video Compression currently is dominated by engineering and fine-tuned heuristic methods. In this paper, we propose to instead apply the well-developed machinery of machine learni...
Christoph H. Lampert
DCC
2000
IEEE
15 years 2 months ago
Trees, Windows, and Tiles for Wavelet Image Compression
We investigate the task of compressing an image by using different probability models for compressing different regions of the image. In an earlier paper, we introduced a class of...
Wee Sun Lee
DCC
2011
IEEE
14 years 4 months ago
Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
Xin Hou, Karthik S. Gurumoorthy, Ajit Rajwade