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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
PAMI
2008
145views more  PAMI 2008»
15 years 6 months ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
ECCV
2008
Springer
16 years 8 months ago
VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of c...
David Liu, Gang Hua, Tsuhan Chen
ICASSP
2008
IEEE
16 years 1 months ago
AN EM-based probabilistic approach for Acoustic Echo Suppression
This paper introduces a new Acoustic Echo Suppression (AES) algorithm for suppressing the residual echo after the Acoustic Echo Canceller (AEC). By temporally segmenting the frequ...
Nilesh Madhu, Ivan Tashev, Alex Acero
GLVLSI
2006
IEEE
185views VLSI» more  GLVLSI 2006»
16 years 26 days ago
Application of fast SOCP based statistical sizing in the microprocessor design flow
In this paper we have applied statistical sizing in an industrial setting. Efficient implementation of the statistical sizing algorithm is achieved by utilizing a dedicated interi...
Murari Mani, Mahesh Sharma, Michael Orshansky