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KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 6 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
112
Voted
JEI
2006
107views more  JEI 2006»
15 years 2 months ago
Color appearance in high-dynamic-range imaging
When viewing images on a monitor, we are adapted to the lighting conditions of our viewing environment as well as the monitor itself, which can be very different from the lighting ...
Ahmet Oguz Akyüz, Erik Reinhard
ICASSP
2011
IEEE
14 years 6 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
139
Voted
CISS
2011
IEEE
14 years 6 months ago
Sparsity penalties in dynamical system estimation
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
Adam Charles, Muhammad Salman Asif, Justin K. Romb...
122
Voted
ICIP
2007
IEEE
15 years 8 months ago
Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems
Significant power savings can be achieved on voltage/frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Vid...
Emrah Akyol, Mihaela van der Schaar