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JMLR
2010
155views more  JMLR 2010»
14 years 9 months ago
Bayesian Gaussian Process Latent Variable Model
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
Michalis Titsias, Neil D. Lawrence
CVPR
2008
IEEE
16 years 4 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
DAC
2005
ACM
16 years 3 months ago
Device and architecture co-optimization for FPGA power reduction
Device optimization considering supply voltage Vdd and threshold voltage Vt tuning does not increase chip area but has a great impact on power and performance in the nanometer tec...
Lerong Cheng, Phoebe Wong, Fei Li, Yan Lin, Lei He
ICC
2007
IEEE
106views Communications» more  ICC 2007»
15 years 9 months ago
Joint Channel Estimation and Synchronization with Inter-carrier Interference Reduction for OFDM
This paper proposes a pilot-aided joint channel estimation and synchronization scheme for burst-mode orthogonal frequency division multiplexing (OFDM) systems. The scheme eliminate...
Hung Nguyen-Le, Tho Le-Ngoc, Chi Chung Ko
128
Voted
ISLPED
2006
ACM
109views Hardware» more  ISLPED 2006»
15 years 8 months ago
Power reduction of multiple disks using dynamic cache resizing and speed control
This paper presents an energy-conservation method for multiple disks and their cache memory. Our method periodically resizes the cache memory and controls the rotation speeds unde...
Le Cai, Yung-Hsiang Lu