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SADM
2010
196views more  SADM 2010»
15 years 1 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
TKDE
2010
393views more  TKDE 2010»
15 years 1 months ago
Adaptive Join Operators for Result Rate Optimization on Streaming Inputs
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environ...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...
PLDI
2012
ACM
13 years 9 months ago
Adaptive input-aware compilation for graphics engines
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...
Mehrzad Samadi, Amir Hormati, Mojtaba Mehrara, Jan...
INFOCOM
2012
IEEE
13 years 9 months ago
On exploiting flow allocation with rate adaptation for green networking
Abstract—Network power consumption can be reduced considerably by adapting link data rates to their offered traffic loads. In this paper, we exploit how to leverage rate adaptat...
Jian Tang, Brendan Mumey, Yun Xing, Andy Johnson
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...