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ICML
2005
IEEE
16 years 1 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
119
Voted
MOBIHOC
2009
ACM
16 years 1 months ago
Fault tolerant target tracking in sensor networks
In this paper, we present a Gaussian mixture model based approach to capture the spatial characteristics of any target signal in a sensor network, and further propose a temporally...
Min Ding, Xiuzhen Cheng
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 1 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
71
Voted
ICCAD
2007
IEEE
118views Hardware» more  ICCAD 2007»
15 years 9 months ago
Timing variation-aware high-level synthesis
—This work proposes a new yield computation technique dedicated to HLS, which is an essential component in timing variationaware HLS research field. The SSTAs used by the curren...
Jongyoon Jung, Taewhan Kim
136
Voted
CVPR
2010
IEEE
15 years 9 months ago
SVM for Edge-Preserving Filtering
In this paper, we propose a new method to construct an edge-preserving filter which has very similar response to the bilateral filter. The bilateral filter is a normalized convolu...
Qingxiong Yang, Shengnan Wang, Narendra Ahuja