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NIPS
2007
14 years 11 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
CVPR
2012
IEEE
13 years 10 hour ago
Saliency filters: Contrast based filtering for salient region detection
Saliency estimation has become a valuable tool in image processing. Yet, existing approaches exhibit considerable variation in methodology, and it is often difficult to attribute...
Federico Perazzi, Philipp Krähenbühl, Ya...
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INFOCOM
2008
IEEE
15 years 4 months ago
Wireless Medium Access via Adaptive Backoff: Delay and Loss Minimization
— We consider packet transmission scheduling at the MAC-layer via adaptive backoff algorithms that are favorable in terms of queue occupancies in a wireless network. General netw...
Gardar Hauksson, Murat Alanyali
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 3 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ISBI
2007
IEEE
15 years 3 months ago
Multivariate Hypothesis Testing of Dti Data for Tissue Clustering
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Raisa Z. Freidlin, Yaniv Assaf, Peter J. Basser